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Publications of Yaochu Jin by Year

Citations according to Google Scholar (h-index: 25, g-index: 43, highest single paper citations: 271. Status: 12.2009)

In Presss    2010    2009    2008    2007    2006    2005    2004    2003    2002    2001    2000    1999    1998    1997    1996    1995    1994    1993    1992    1990   

    Submitted and In Press

  1. Nghia Minh Le, Yew Soon Ong, Yaochu Jin and Bernhard Sendhoff. Symbiosis in memetic computing. Submitted to IEEE TEVC

  2. Lisa Schramm, Yaochu Jin and Bernhard Sendhoff. Redundancy in the evolution of gene regulatory networks. Submitted to Automatica

  3. Till Steiner, Bernhard Sendhoff, and Yaochu Jin. Evolving heterochrony for cellular differentiation using vector field embryogeny. Submitted to GECCO 2010

  4. Benjamin Inden, Yaochu Jin, Robert Haschke, Helge Ritter. NEATfields: Evolution of neural fields for visual discrimination and multiple pole balancing tasks. Submitted to GECCO 2010

  5. Yan Meng, Yaochu Jin, Jun Yin, and Matthew Conforth. Human activity detection using spiking neural networks regulated by a gene regulatory network. Submitted to IJCNN 2010

  6. Hongliang Guo, Yan Meng, and Yaochu Jin. Analysis of local communication load in shape formation of a distributed morphogenetic swarm robotic system. Submitted to CEC 2010

  7. Yaochu Jin, Sanghoun Oh and Moongu Jeon. Incremental approximation of nonlinear constraint functions for evolutionary constrained optimization. Submitted to CEC 2010

  8. Xin Yu, Yaochu Jin, Ke Tang, and Xin Yao. Robust optimization over time -- A new perspective on dynamic optimization problems. Submitted to CEC 2010

  9. Yuhua Zheng, Yan Meng and Yaochu Jin. Fusing bottom-up and top-down pathways in neural networks for visual object recognition. Submitted to IJCNN 2010.

  10. Yan Meng, Hongliang Guo, and Yaochu Jin. A morphogenetic approach to flexible and robust shape formation of swarm robots. Autonomous Robots, 2009 (Submitted)

  11. Yaochu Jin and Yan Meng. Morphogenetic robotics: A new paradigm for designing self-organizing, self-reconfigurable and self-adaptive robots. In: Morphogenetic Engineering: Toward Programmable Complex Systems, R. Doursat, H. Sayama, & O. Michel (Eds.), Studies on Complexity Book Series, Springer-Verlag, 2009 (under review)

  12. Bone Jones, Yaochu Jin, Bernhard Sendhoff and Xin Yao. Bridging the gap between the nervous systems and body-plan morphology: Evolving coupling in a model of undulating organism. Artificial Life, 2009 (under revision)

  13. Ben Jones, Yaochu Jin, Bernhard Sendhoff, and Xin Yao. The effect of proprioceptive feedback on the distribution of sensory information in a model of an undulating organism. 10th European Conference on Artificial Life, Budapest, September 2009 (accepted)

  14. Lisa Schramm, Yaochu Jin, Bernhard Sendhoff. Emerged coupling of motor control and morphological development in evolution of multi-cellular animates. 10th European Conference on Artificial Life, Budapest, September 2009 (accepted)

  15. Dudy Lim, Yaochu Jin, Yew-Soon Ong, and Bernhard Sendhoff. Generalizing surrogate-assisted evolutionary computation. IEEE Transactions on Evolutionary Computation, 2009 (accepted)

    16. [return to top]

    2010

  16. Heiko Lex, Matthias Weigelt, Yaochu Jin, and Thomas Schack. Visuo-motor adaptation relies on kinesthetic representation of movement directions. North American Society for Psychology of Sport and Physical Activity (NASPSPA) Conference, Tucson, AZ, June 10-12, 2010 (accepted, abstract only)

  17. Yaochu Jin and Jens Trommler. A fitness-independent evolvability measure for evolutionary developmental systems. IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, Montreal, May 2-5 2010 (accepted)

    18. [return to top]

    2009

  18. Till Steiner, Yaochu Jin, and Bernhard Sendhoff. Vector field embryogeny. PLoS ONE, 4(12): e8177. doi:10.1371/journal.pone.0008177

  19. Yaochu Jin and Jennifer Hallinan. Guest editorial: Special section on evolving gene regulatory networks. BioSystems, 98(3), pages vi-vii, 2009

  20. Andrea Finke, Yaochu Jin, Helge Ritter. A P300 based brain-robot interface for shaping human-robot interaction. Frontiers in Computational Neuroscience, Conference Abstract:Bernstein Conference on Computational Neuroscience, doi: 10.3389/conf.neuro.10.2009.14.108, 2009 (oral presentation)

  21. Ben Jones, Yaochu Jin, Bernhard Sendhoff, and Xin Yao. The evolutionary emergence of neural organization in a hydra-like animat. Frontiers in Computational Neuroscience, Conference Abstract:Bernstein Conference on Computational Neuroscience, doi: 10.3389/conf.neuro.10.2009.14.057, 2009

  22. Hongliang Guo, Yan Meng, and Yaochu Jin. A cellular mechanism for multi-robot construction via evolutionary multi-objective optimization of a gene regulatory network. BioSystems, 98(3):193-203, 2009

  23. Till Steiner, Yaochu Jin, Lisa Schramm, and Bernhard Sendhoff. Dynamic links and evolutionary history in simulated gene regulatory networks. In: S. Das et al (eds.), Computational Methodologies in Gene Regulatory Networks, Chapter 21, pp. 498-522, 2009

  24. Minh Nghia Le, Yew Soon Ong, Yaochu Jin, and Bernhard Sendhoff. Lamarkian memetic algorithms: Local optimum and connectivity structure analysis. Memetic Computing, 1(3):175-190, 2009

  25. Aimin Zhou, Qingfu Zhang, Yaochu Jin. Approximating the set of Pareto-optimal solutions in both decision and objective spaces by an estimation of distribution algorithm. IEEE Transactions on Evolutionary Computation, 13(5):1167-1189, 2009

  26. Yaochu Jin, Yan Meng, and Bernhard Sendhoff. Evolvability and robustness of in silico evolution of gene regulatory dynamics. In: Foundations of Systems Biology in Engineering. Omnipress, pages 68--71, 2009

  27. Yaochu Jin, Hongliang Guo and Yan Meng. Robustness analysis and failure recovery of a bio-inspired self-organizing multi-robot system. In: Third IEEE International Conference on Self-Adaptive and Self-organizing Systems. IEEE Press, pages 154--164, 2009

  28. Yaochu Jin and Bernhard Sendhoff. A systems approach to evolutionary multi-objective structural optimization and beyond. IEEE Computational Intelligence Magazine, 4(3):62-76, 2009 (Invited feature article)

  29. Yaochu Jin and Lipo Wang (editors), Fuzzy Systems in Bioinformatics and Computational Biology. Springer, 2009

  30. Ingo Paenke, Yaochu Jin, Juergen Branke. Balancing population and individual level of adaptation in changing environments. Adaptive Behavior, 17(2):153--174, 2009

  31. Yaochu Jin, Robin Gruna, Bernhard Sendhoff. Pareto analysis of evolutionary and learning systems. Frontiers of Computer Science in China, 3(1):4-17, 2009

  32. Martijn Meeter, Rob Veldkamp, Yaochu Jin. Multiple memory stores and operant conditioning: A rationale for memory's complexity. Brain and Cognition, 69(1):200-208, 2009

  33. Till Steiner, Jens Trommler, Martin Brenn, Yaochu Jin, and Bernhard Sendhoff. Global shape with morphogen gradients and motile polarized cells. Congress on Evolutionary Computation, pp.2225-2232, May 2009, Trondheim, Norway

  34. Yaochu Jin and Bernhard Sendhoff. Fuzzy logic in evolving in silico oscillatory dynamics for gene regulatory networks. In: Y. Jin and L. Wang (eds.). Fuzzy Systems in Bioinformatics and Computational Biology, pp.315-327, Springer, 2009

  35. Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff. Combination of Genetic Algorithms and Evolution Strategies with Self-adaptive Switching. In: Goh, Chi-Keong; Ong, Yew-Soon; Tan, Kay Chen (Eds.), Multi-Objective Memetic Algorithms. pp. 281-307, Springer, 2009

  36. Yaochu Jin, Yan Meng, Bernhard Sendhoff. Influence of regulation logic on the easiness of evolving sustained oscillation for gene regulatory networks. IEEE Symposium on Artificial Life (IEEE-ALIFE), pp.61-68, March 30 - April 1, 2009, Nashville, TN, USA

  37. Yaochu Jin, Robin Gruna, Ingo Paenke, and Bernhard Sendhoff. Multi-objective optimization of robustness and innovation in redundant genetic representations. IEEE Symposium on Multi-Criteria Decision-Making, pp.38-45, March 30 - April 1, 2009, Nashville, TN, USA

  38. Hongliang Guo, Yan Meng, Yaochu Jin. Self-adaptive multi-robot construction using gene regulatory networks. IEEE Symposium on Artificial Life (IEEE-ALIFE), pp. 53-60, March 30 - April 1, 2009, Nashville, TN, USA

  39. Yaochu Jin, Lisa Schramm, and Bernhard Sendhoff. A gene regulatory model for the development of primitive nervous systems. INNS-NNN Symposia on Modeling the Brain and Nervous Systems, November 2008, Auckland, New Zealand, LNCS 5506, pp.48-55, 2009

  40. Ben Jones, Yaochu Jin, Xin Yao, and Bernhard Sendhoff. Evolution of neural organization in a Hydra-like animat. 15th Int. Conf. on Neural Information Processing of the Asia-Pacific Neural Network Assembly (ICONIP"08), November 2008, Auckland, New Zealand, LNCS 5506, pp. 216-223, 2009

    41. [return to top]

    2008

  41. Yaochu Jin, Bernhard Sendhoff. Pareto-based multi-objective machine learning: An overview and case studies. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 38(3):397-415, 2008. Also here.

  42. Qingfu Zhang, Aimin Zhou, Yaochu Jin. RM-MEDA: A regularity model based multi-objective estimation of distribution algorithm. IEEE Transactions on Evolutionary Computation, 12(1):41--63, 2008. Also here. ( Errata: Correction of Fig.20 )

  43. Dudy Lim, Yew-Soon Ong, Yaochu Jin, and Bernhard Sendhoff. Evolutionary optimization with dynamic fidelity computational models. International Conference on Intelligent Computing, pp.235-242, LNAI 5227, September 15-18, 2008, Shanghai, China

  44. Ben Jones, Yaochu Jin, Bernhard Sendhoff, and Xin Yao. Evolving functional symmetry in a three dimensional model of an elongated organism. Artificial Life XI, pp.305-312, 2008 PDF

  45. Till Steiner, Yaochu Jin and Bernhard Sendhoff. A cellular model for evolutionary development of lightweight materials with an inner structure. Genetic and Evolutionary Computation Conference (GECCO), pp.851-858, 2008 ( Best paper nomination)

  46. Yi Cao, Yaochu Jin, Michal Kowalczykiewicz and Bernhard Sendhoff. Prediction of convergence dynamics of design performance using differential recurrent neural networks. International Joint Conference on Neural Networks, pp.529-534, 2008, Hong Kong, China

  47. Aimin Zhou, Qingfu Zhang, Yaochu Jin and Bernhard Sendhoff. Combination of EDA and DE for continuous biobjective optimization. Congress on Evolutionary Computation, pp.1447-1454, 2008, Hong Kong, China

  48. Neale Samways, Yaochu Jin, Xin Yao, and Bernhard Sendhoff. Toward a gene regulatory network model for evolving chemotaxis behaviour. Congress on Evolutionary Computation, pp.2574-2581, 2008, Hong Kong, China

  49. Yaochu Jin, Bernhard Sendhoff. Evolving in silico bistable and oscillatory dynamics for gene regulatory network motifs. Congress on Evolutionary Computation , pp.386-391, 2008, Hong Kong, China

  50. Yaochu Jin, Bernhard Sendhoff, Edgar Körner. Rule extraction from compact Pareto-optimal neural networks. In: Multi-objective Evolutionary Algorithms for Knowledge Discovery from Databases, A. Ghosh et al (eds.), pp. 71-90, Springer, 2008

  51. Yaochu Jin, Aimin Zhou, Qingfu Zhang, Bernhard Sendhoff, and Edward Tsang. Modeling regularity to improve scalability of model-based multi-objective optimization algorithms. In: J. Knowles, D. Corne, K. Deb (eds.), Multi-Objective Problem Solving from Nature, pp. 331-356, Springer, 2008

    52. [return to top]

    2007

  52. Shengxiang Yang, Yew-Soon Ong, and Yaochu Jin (editors) Evolutionary Computation in Dynamic and Uncertain Environments , Springer, 2007

  53. Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff, Bu-Sung Lee. Efficient hierarchical parallel genetic algorithms using grid computing. Future Generation Computer Systems -- The International Journal of Grid Computing: Theory, Methods and Applications. 23(4):658--670, 2007 PDF

  54. Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff. Adaptive modeling strategy for continuous multi-objective optimization. Congress on Evolutionary Computation, pp.431--437, Singapore, September 2007 PDF

  55. Till Steiner, Lisa Schramm, Yaochu Jin, Bernhard Sendhoff. Emergence of feedback in artificial gene regulatory networks. Congress on Evolutionary Computation, pp.867--874, Singapore, September 2007 ( 10 finalist for best paper award)
    Available upon request.

  56. Yaochu Jin, Ruojing Wen, and Bernhard Sendhoff. Evolutionary multi-objective optimization of spiking neural networks. International Conference on Neural Networks, LNCS 4668, 1:370--379, 2007 PDF

  57. Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff. A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation. Genetic and Evolutionary Computation Conference (GECCO), pp.1288--1295, July 8-11, 2007, London PDF

  58. Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff and Edward Tsang. Global multi-objective optimization via estimation of distribution algorithm with biased initialization and crossover. Genetic and Evolutionary Computation Conference (GECCO), pp.617--623, July 8-11, 2007, London PDF

  59. Ingo Paenke, Juergen Branke, and Yaochu Jin. On the influence of phenotype plasticity on genotype diversity. 2007 IEEE Symposium on Foundations of Computational Intelligence (FOCI) , pp. 33-40, April 1-4, 2007, Honolulu, Hawaii PDF ( Best student paper award)

  60. Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sendhoff, Edward Tsang. Prediction-based population re-initialization for evolutionary dynamic multi-objective optimization. The Fourth International Conference on Evolutionary Multi-Criterion Optimization, LNCS 4403, pp. 832--846, March 5-8, 2007, Matsushima, Japan. PDF

  61. Dudy Lim, Yew-Soon Ong, Meng-Hiot Lim, and Yaochu Jin. Single/multi-objective inverse robust evolutionary design methodology in the presence of uncertainty. In: S. Yang, Y.S. Ong, and Y. Jin (eds.), Evolutionary Computation in Dynamic and Uncertain Environments, pp.437-456, Springer, 2007

  62. Lars Graenling, Yaochu Jin, Bernhard Sendhoff. Individual-based management of meta-models for evolutionary optimization with applications to three-dimensional blade optimization. In: S. Yang, Y.S. Ong, and Y. Jin (eds.), Evolutionary Computation in Dynamic and Uncertain Environments, pp.225-250, Springer, 2007

    63. [return to top]

    2006

  63. Yaochu Jin (editor).\ Multi-Objective Machine Learning. Springer, Berlin Heidelberg. 2006

  64. Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff, and Bu Sung Lee. Inverse multi-objective robust evolutionary optimization. Genetic Programming and Evolvable Machines. 7(4):383--404, 2006 Also here

  65. Ingo Paenke, Juergen Branke, and Yaochu Jin. Efficient search for robust solutions by means of evolutionary algorithms and fitness approximation. IEEE Transactions on Evolutionary Computation . 10(4):405-420, 2006 ( Authors contributed equally.) Also here.

  66. Shengxiang Yang, Yew-Soon Ong, and Yaochu Jin. Guest editorial: Special issue on evolutionary computation in dynamic and uncertain environments. Genetic Programming and Evolvable Machines. 7(4):292--294, 2006

  67. Juergen Branke, Yaochu Jin. Guest editorial: Special issue on evolutionary computation in the presence of uncertainty. IEEE Transactions on Evolutionary Computation. 10(4):377--379, 2006

  68. Kwasi Foli, Tatsuya Okabe, Markus Olhofer, Yaochu Jin, and Bernhard Sendhoff. Optimization of micro heat exchanger: CFD, analytical approaches and multi-objective evolutionary algorithms. International Journal of Heat and Mass Transfer. 49:1090-1099, 2006

  69. Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff, Edward Tsang. Modeling the population distribution in multi-objective optimization by generative topographic mapping. Parallel Problem Solving from Nature IX, LNCS 4193, pp.443-452, 2006, Reykjavik, Iceland PDF

  70. Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff. Trusted evolutionary algorithms. IEEE Congress on Evolutionary Computation, pp.456-463, July 2006, Vancouver

  71. Lars Gräning, Yaochu Jin, Bernhard Sendhoff. Generalization improvement in multi-objective learning. International Joint Conference on Neural Networks, pp.9893-9900, July 2006, Vancouver

  72. Yaochu Jin, Bernhard Sendhoff. Alleviating catastrophic forgetting via multi-objective learning. International Joint Conference on Neural Networks, pp.6367-6374, July 2006, Vancouver

  73. Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sendhoff, Edward Tsang. Combining model-based and genetics-based offspring generation for multi-objective optimization using a convergence criterion. IEEE Congress on Evolutionary Computation, pp.3234-3240, July 2006, Vancouver

  74. Yaochu Jin, Bernhard Sendhoff, Edgar Körner. Simultaneous generation of accurate and interpretable neural network classifiers. In: Multi-Objective Machine Learning, Y. Jin (ed.), pp.281-300, Springer, Berlin Heidelberg, 2006

    75. [return to top]

    2005

  75. Lipo Wang and Yaochu Jin (editors), 2005 International Conference on Fuzzy Systems and Knowledge Discovery. Part I and Part II, LNAI 3613 and 3614, Springer, August 2005

  76. Rothlauf, F., Branke, J., Codnoni, S., Corne, D.W., Drechsler, R., Jin, Y., Machado, P., Marchiori, E., Romerero, J., Smith, G.D., Squillero, G. (editors). Applications of Evolutionary Computing. LNCS 3449, Springer, March 2005

  77. Yaochu Jin (editor). Knowledge Incorporation in Evolutionary Computation. Springer, Berlin Heidelberg, 2005 Table of Contents(PDF file)

  78. Yaochu Jin and Juergen Branke. Evolutionary optimization in uncertain environments - A survey. IEEE Transactions on Evolutionary Computation, 9(3), 303-317, 2005. Also here.
    Citations according to Google Scholar

  79. Hanli Wang, Sam Kwong, Yaochu Jin, Wei Wei and K. Man. Agent-based evolutionary approach to interpretable rule-based knowledge extraction. IEEE Transactions Systems, Man, and Cybernetics, Part C: Applications and Reviews, 35(2), 143-155, 2005

  80. Hanli Wang, Sam Kwong, Yaochu Jin, Wei Wei and K. Man. A multi-objective hierarchical genetic algorithm for interpretable rule-based knowledge extraction. Fuzzy Sets and Systems, 149(1), 149-186, 2005
    Citations according to Google Scholar

  81. Yaochu Jin. A comprehensive survey of fitness approximation in evolutionary computation. Soft Computing, 9(1), 3-12, 2005, Springer
    Citations according to Google Scholar

  82. Michael Huesken, Yaochu Jin and Bernhard Sendhoff. Structure optimization of neural networks for evolutionary design optimization. Soft Computing, 9(1), 21-28, 2005

  83. Aimin Zhou, Qingfu Zhang, Yaochu Jin, Edward Tsang, Tatsuya Okabe. A model-based evolutionary algorithm for bi-objective optimization. Congress on Evolutionary Computation, pp.2568-2575, Edinburgh, September 2005

  84. Vineet Khare, Xin Yao, Bernhard Sendhoff, Yaochu Jin, and Heiko Wersing. Co-evolutionary modular neural networks for automatic problem decomposition. Congress on Evolutionary Computation, pp.2691-2698, Edinburgh, September 2005

  85. Tatsuya Okabe, Yaochu Jin, and Bernhard Sendhoff. Theoretical comparisons of search dynamics of genetic algorithms and evolution strategies. Congress on Evolutionary Computation, pp.382-389, Edinburgh, September 2005

  86. Tatsuya Okabe, Yaochu Jin, and Bernhard Sendhoff. A new approach to dynamics analysis of genetic algorithms without selection. Congress on Evolutionary Computation, pp.374-381, Edinburgh, September 2005

  87. Yaochu Jin, Markus Olhofer, and Bernhard Sendhoff. On evolutionary optimization of large problems with small populations. Int. Conf. on Natural Computation. LNCS, 3611, pp.1145-1154, Springer, Changsha, China

  88. Lars Gräning, Yaochu Jin, Bernhard Sendhoff. Efficient evolutionary optimization using individual-based evolution control and neural networks: A comparative study. European Symposium on Artificial Neural Networks (ESANN'2005). pp.273-278, Bruges, April 2005

  89. Yaochu Jin, Bernhard Sendhoff, and Edgar Körner. Evolutionary multi-objective optimization for simultaneous generation of signal-type and symbol-type representations. The Third International Conference on Evolutionary Multi-Criterion Optimization. LNCS 3410, pp.752-766, Springer, Guanajuato, Mexico, March 9-11, 2005

  90. Yaochu Jin, Khaled Rasheed and Sushil Louis. Guest editorial: Special issue on approximation and learning in evolutionary computation", Soft Computing, 9(1), 1-2, 2005

  91. Yaochu Jin. Guest editorial: Special issue on knowledge extraction and incorporation in evolutionary computation. IEEE Transactions Systems, Man, and Cybernetics, Part C: Applications and Reviews, 35(2), 129-130, 2005 Also here

  92. Yaochu Jin, Michael Huesken, Markus Olhofer and Bendhard Sendhoff. Neural networks for fitness approximation in evolutionary optimization. In: Y. Jin (ed.), Knowledge Incorporation in Evolutionary Computation,, pp.281-306, Springer, Berlin Heidelberg, 2005

    93. [return to top]

    2004

  93. Raidl, G., Cagnoni, S., Branke, J., Corne, D.W., Drechsler, R., Jin, Y., Johnson, C.G., Machado, P., Marchiori, E., Rothlauf, F., Smith, G.D., Squillero, G. (editors). Applications of Evolutionary Computing. LNCS 3005, Springer, April 2004

  94. Yaochu Jin, Bernhard Sendhoff, and Edgar Körner. Evolutionary multi-objective model selection: A step towards smooth transitions between signal-type and symbol-type representations? Workshop on "Soft Computing for Information Mining" within KI 2004, Ulm, September 20-21, 2004 (not peer reviewed)

  95. Tatsuya Okabe, Yaochu Jin, Markus Olhofer, and Bernhard Sendhoff. On test functions for evolutionary multi-objective optimization. Parallel Problem Solving from Nature, VIII, LNCS 3242, Springer, pp.792-802, September 2004

  96. Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff and Markus Olhofer. Voronoi-based estimation of distribution algorithm for multi-objective optimization. CEC'04, pp. 1594-1602, Portland, 2004

  97. Yaochu Jin, Tatsuya Okabe and Bernhard Sendhoff. Neural network regularization and ensembling using multi-objective evolutionary algorithms. Congress on Evolutionary Computation, pp.1-8, Portland, 2004
    Citations according to Google Scholar

  98. Yaochu Jin and Bernhard Sendhoff. Reducing fitness evaluations using clustering techniques and neural network ensembles.(draft) Genetic and Evolutionary Computation Conference. LNCS 3102, Springer, pp. 688-699, Seattle, 2004
    Citations according to Google Scholar

  99. Yaochu Jin and Bernhard Sendhoff. Constructing dynamic test problems using the multi-objective optimization concept. In: Applications of Evolutionary Computing. LNCS 3005, Raidl, G.R.; Cagnoni, S.; Branke, J.; Corne, D.W.; Drechsler, R.; Jin, Y.; Johnson, C.G.; Machado, P.; Marchiori, E.; Rothlauf, F.; Smith, G.D.; Squillero, G. (eds.) pp.525-536, Springer, 2004

  100. Yaochu Jin, Tatsuya Okabe and Bernhard Sendhoff. Evolutionary multi-objective approach to constructing neural network ensembles for regression. In: C. Coello Coello (ed.), Applications of Evolutionary Multi-objective Optimization, pp. 653-672. World Scientific, 2004

    101. [return to top]

    2003

  101. Yaochu Jin. Advanced Fuzzy Systems Design and Applications . Physica-Verlag/Springer-Verlag, Heidelberg, 2003 (ISBN: 3-7908-1537-3)Table of Contents (PDF file).

  102. Yaochu Jin and Bernhard Sendhoff, Extracting interpretable fuzzy rules from RBF networks. Neural Processing Letters, 17(2), 149-164, 2003
    Citations according to Google Scholar

  103. Yaochu Jin and Bernhard Sendhoff. Connectedness, regularity and the success of local search in evolutionary multi-objective optimization. In: Proceedings of the IEEE Congress on Evolutionary Computation, Vol.3, pp.1910-1917, 2003

  104. Lars Willmes, Thomas Bäck,Yaochu Jin and Bernhard Sendhoff. Comparing neural networks and kriging in fitness approximation in evolutionary optimization. In: Proceedings of the IEEE Congress on Evolutionary Computation, Vol.1, pp.663-670, 2003

  105. Tatsuya Okabe, Yaochu Jin and Bernhard Sendhoff. A critical survey of performance indices for multi-objective optimization.In: Proceedings of the IEEE Congress on Evolutionary Computation, Vol.2, pp.878-885, 2003
    Citations according to Google Scholar

  106. Tatsuya Okabe, Kwasi Foli, Markus Olhofer, Yaochu Jin and Bernhard Sendhoff. Comparative studies on micro heat exchanger optimization. In: Proceedings of the IEEE Congress on Evolutionary Computation, Vol.1, pp.647-654, 2003

  107. Tatsuya Okabe, Yaochu Jin and Bernhard Sendhoff. Evolutionary multi-objective optimization with a hybrid representation.In: Proceedings of the IEEE Congress on Evolutionary Computation , Vol.4, pp. 2262-2269, 2003

  108. Yaochu Jin, Tatsuya Okabe and Bernhard Sendhoff. Solving three-objective optimization problems using evolutionary dynamic weighted aggregation: Results and analysis. In: Proceedings of Genetic and Evolutionary Computation Conference. pp.636, Chicago, 2003

  109. Yaochu Jin and Bernhard Sendhoff. (Corrected version) Trade-off between performance and robustness: An evolutionary multiobjective approach. In: Proceedings of Second International Conference on Evolutionary Multi-criteria Optimization. LNCS 2632, Springer, pp.237-251, Faro, April 2003
    Citations according to Google Scholar

  110. Yaochu Jin, Michael Huesken and Bernhard Sendhoff. Quality measures for approximate models in evolutionary computation. In: Proceedings of the GECCO Workshop on "Learning, Adaptation and Approximation in Evolutionary Computation", pp.170-174, Chicago, 2003 (not peer reviewed)

  111. Sam Kwong and Yaochu Jin. Guest editorial: Special issue on soft computing techniques in intelligent vehicle systems. IEEE Transactions on Industrial Electronics , 50(1), 2-3, 2003. Also here

  112. Yaochu Jin. Interpretability improvement of RBF-based neuro-fuzzy systems using regularized learning. In: J. Cassilas et al (eds.), Interpretability Issues in Fuzzy Modeling, Chapter 26, pp.605-620, Springer, 2003

  113. Yaochu Jin. Generating distinguishable, complete, consistent and compact fuzzy systems using evolutionary algorithms. In: J. Cassilas et al (eds.), Accuracy Improvements in Fuzzy Modeling , Chapter 5, pp.100-118, Springer, 2003.

  114. Yaochu Jin. Brain controlled devices - An overview. Internal Report, Honda Research Institute Europe, HRI-EU 03-13, September, 2003

    115. [return to top]

    2002

  115. Yaochu Jin, Markus Olhofer and Bernhard Sendhoff. A framework for evolutionary optimization with approximate fitness functions. IEEE Transactions on Evolutionary Computation, 6(5), 481-494, 2002
    Citations according to Google Scholar

  116. Yaochu Jin and Bernhard Sendhoff. Fuzzy preference incorporation into evolutionary multi-objective optimization. In: Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning, Vol.1, pp.26-30, Singapore, Nov. 2002

  117. Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff. On the dynamics of multiobjective optimization. In: Proceedings of Genetic and Evolutionary Computation Conference, pp. 247-256, New York, July 2002. ( Best paper nomination)

  118. Yaochu Jin. Fitness approximation in evolutionary computation - A survey. In: Proceedings of Genetic and Evolutionary Computation Conference, pp.1105-1112, New York, July 2002.
    Citations according to Google Scholar

  119. Yaochu Jin and Bernhard Sendhoff. Incorporation of fuzzy preferences into evolutionary multiobjective optimization. In: Proceedings of Genetic and Evolutionary Computation Conference, pp.683, New York, July 2002.

  120. Dissertation: Knowledge in evolutionary and learning systems. Institute for Neuroinformatics, Ruhr-University Bochum, Germany. Shaker Verlag, Aachen, 2002. (ISBN: 3-8265-9749-4)

  121. Markus Olhofer, Toshiyuki Arima, Yaochu Jin, Toyotaka Sonoda and Bernhard Sendhoff. Optimization of transonic gas turbine blades with evolution strategies. Honda R&D Technical Review, 14(1), 203-216, 2002

  122. Yaochu Jin. Knowledge in evolutionary and learning systems. Ph.D. thesis. Institute for Neuroinformatics, Ruhr-University Bochum, Germany. Shaker Verlag, Aachen, 2002. (ISBN: 3-8265-9749-4)

    123. [return to top]

    2001

  123. Yaochu Jin, Markus Olhofer and Bernhard Sendhoff. Managing approximate models in evolutionary aerodynamic design optimization. In: Proceedings of IEEE Congress on Evolutionary Computation, vol.1, pp.592-599. Seoul, Korea, May 2001
    Citations according to Google Scholar

  124. Markus Olhofer, Yaochu Jin and Bernhard Sendhoff. Adaptive encoding for aerodynamic shape optimization using evolution strategies. In: Proceedings of IEEE Congress on Evolutionary Computation, vol.1, pp.576-583, Seoul, Korea, May 2001

  125. Yaochu Jin, Markus Olhofer and Bernhard Sendhoff. Dynamic weighted aggregation for evolutionary multi-objective optimization: Why does it work and how? In: Proceedings of Genetic and Evolutionary Computation Conference, pp.1042-1049, San Francisco, USA, 2001.
    Citations according to Google Scholar
    A more detailed description with applications can be found in the unpublished manuscript: Effectiveness of weighted sum of the objectives for evolutionary multi-objective optimization: Methods, analysis and applications. Unpublished manuscript. 2002

  126. Yaochu Jin, Markus Olhofer and Bernhard Sendhoff. Managing approximate models in parallel evolutionary optimization. HRE-G/FTR Report 00-03, Honda R&D Europe, Offenbach/Main, 2000.

  127. Yaochu Jin, Tatsuya Okabe and Bernhard Sendhoff. Adapting weighted aggregation for multiobjective evolution strategies. In: Proceedings of the First International Conference on Evolutionary Multi-criterion Optimization. LNCS 1993, Springer, pp.96-110, Zurich, Switzerland, March 7-9, 2001.
    Citations according to Google Scholar

    128. [return to top]

    2000

  128. Yaochu Jin. Fuzzy modeling of high-dimensional systems: Complexity reduction and interpretability improvement. IEEE Transactions on Fuzzy Systems, 8(2), 212-221, 2000.
    Highly cited article (top 1% within its field) according to Essential Science Indicators (SM) of Thomson ISI
    Citations according to Google Scholar

  129. Yaochu Jin, Markus Olhofer and Bernhard Sendhoff. On evolutionary optimization with approximate fitness functions. In: Proceedings of the Genetic and Evolutionary Computation Conference GECCO, Las Vegas, Nevada, USA. pp.786- 793, July 10-12, 2000.

  130. Yaochu Jin, Werner von Seelen and Bernhard Sendhoff. Extracting Interpretable Fuzzy Rules from RBF Neural Networks. Internal Report 2000-02, Institut für Neuroinformatik, Ruhr-Universität Bochum, 44780 Bochum, Germany, February 2000.

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    1999

  131. Yaochu Jin and Bernhard Sendhoff. Knowledge incorporation into neural networks from fuzzy rules. Neural Processing Letters, 10(3), 231-242, 1999.

  132. Yaochu Jin, Werner von Seelen and Bernhard Sendhoff. On generating FC3(flexible, complete, consistent and compact) fuzzy rule systems from data using evolution strategies. IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, 29(6), 829-845, 1999.
    Citations according to Google Scholar

  133. Yaochu Jin and Werner von Seelen. Evaluating flexible fuzzy controllers via evolution strategies. Fuzzy Sets and Systems, 108, 243-252, 1999
    Citations according to Google Scholar

  134. Anna Buczak, Yaochu Jin, Houshang Darabi and Mohsen Jafari. Genetic algorithm based sensor network optimization for target tracking. Intelligent Engineering Systems through Artificial Neural Networks, C.H.Dagli, A. Buczak, J. Ghosh, M. Embrechs and O. Ersoy(eds.), Vol. 9, pp.349-354, 1999.

  135. Richard Burne, Anna Buczak, Yaochu Jin, Vikram Jamalabad, Ivan Kadar and Eitan Eadan. A self-organizing, cooperative sensor network for remote surveillance: Current results. SPIE Proceedings, Unattended Ground Sensor Technologies and Applications., Edward Carapezza, David Law and Terry Stalker(eds.), Vol.3713, pp.238-248, 1999.

  136. Yaochu Jin and Jingping Jiang. Techniques in neural network based fuzzy system identification and their applications to control of complex systems. In: Cornelius T. Leondes(ed.), Fuzzy Theory Systems: Techniques and Applications, Chapter 5, pp.112-128, Vol. 1, Academic Press, San Diego, USA, 1999.

    137. [return to top]

    1998

  137. Yaochu Jin. Decentralized adaptive fuzzy control of robot manipulators. IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, 28(1), 47-57, 1998
    Citations according to Google Scholar

  138. Yaochu Jin, Werner von Seelen and Bernhard Sendhoff. An approach to rule-based knowledge extraction. In: Proceedings IEEE International Conference on Fuzzy Systems, Anchorage, Alaska, pp.1188-1193, 1998.
    Citations according to Google Scholar

    139. [return to top]

    1997

  139. Yaochu Jin and Wang Jie. Intelligent Control: Theory and Applications, Henan Science and Technology Publishing House, Zhengzhou, China, 1997 (in Chinese) (ISBN: 7-5349-1983-5)
    (This book is based mainly on the textbook I prepared for a graduate course "Intelligent Control" at the Department of Electrical Engineering, Zhejiang University during 1993-1994)

  140. Yaochu Jin, Jingping Jiang. Performance analysis of fuzzy controllers based on genetic algorithms. Pattern Recognition and Artificial Intelligence 10(1):75-80, 1997 (in Chinese)

    141. [return to top]

    1996

  141. Yaochu Jin, Jingping Jiang. Two approaches to fuzzy optimal control. Proceedings of Chinese Society of Electrical Engineering. 16(3):201-204, 1996 (in Chinese)

  142. Yaochu Jin and Jingping Jiang. Optimization of fuzzy control rules by means of genetic algorithms. Control and Decision, 11(6):672-676, 1996 (in Chinese)

  143. Yaochu Jin. Intelligent modeling and control of complex systems. Ph.D. thesis. Electrical Eng. Dept., Zhejiang University, Hangzhou, May 1996

    144. [return to top]

    1995

  144. Yaochu Jin, Jingping Jiang and Jing Zhu. Neural network based fuzzy identification and its applications to modeling and control of complex systems. IEEE Transactions on Systems, Man and Cybernetics, 25(6), 990-997, 1995
    Citations according to Google Scholar

  145. Yaochu Jin, Jing Zhu and Jingping Jiang. Adaptive fuzzy identification with applications. International Journal of Systems Science,6(2), 197-212, 1995.

  146. Yaochu Jin, Jing Zhu. Neural network based fuzzy modeling and its simulation techniques. Journal of Systems Simulation, 7(2):46-55, 1995 (in Chinese)

  147. Yaochu Jin, Jingping Jiang. Neuro-fuzzy control of robot manipulators. Chinese Journal of Robot. 17(3):157-163, 1995 (in Chinese)

  148. Yaochu Jin, Jingping Jiang. A neural network model with applications. Journal of Zhejiang University, 29(3):340-347, 1995 (in Chinese)

  149. Yaochu Jin. Design and analysis of fuzzy controllers. In: J. Zhu (Ed.), Fuzzy Control, Chapter 5, pp.240-312, Mechanics Industry Press, Beijing, China, 1995 (in Chinese)

    150. [return to top]

    1994

  150. Yaochu Jin, Jingping Jiang. Fuzzy logic integrated multivariable adaptive neuro-control. Information and Control, 23(4):223-228, 1994 (in Chinese)

  151. Yaochu Jin, Jing Zhu. Neural network based self-learning fuzzy control. Chinese Journal of Eletronics Technology, 4:35-40, 1994 (in Chinese)

  152. Yaochu Jin, Jing Zhu and Jingping Jiang. State estimation and adaptive control of multivariable systems using fuzzy logic and neural networks. AMSE Advances in Modeling and Analysis, 43(2), 1994.

  153. Yaochu Jin, Xiaodong Shen. Two-level hierarchical intelligent fuzzy control of servo systems. Journal of Zhejiang University, 28(6):644-654, 1994 (in Chinese)

  154. Yaochu Jin, Jing Zhu and Jingping Jiang. Fuzzy linearization of nonlinear systems. In: Proceedings IEEE International Conference on Fuzzy Systems, pp.1688-1672, Orlando, Florida, USA, 1994

  155. Yaochu Jin and Jingping Jiang. A novel paradigm of nonlinear system control with applications. In :Proceedings IFAC Symposium on Robot Control, Capri, Italy, 1994

  156. Yaochu Jin, Jingping Jiang. Fuzzy identification with neural networks. In: Proceedings of the Chinese National Conference on Decision and Control. Xiamen, May, 1994 (in Chinese)

    157. [return to top]

    1993

  157. Yaochu Jin, Jingping Jiang. Adaptive fuzzy prediction with application to weather forecast. Pattern Recognition and Artificial Intelligence, 6(4):283-290, 1993 (in Chinese)

  158. Yaochu Jin, Jingping Jiang. Neural network based non-linear feedback control. Journal of Zhejiang University, 27, 1993 (in Chinese)

  159. Yaochu Jin and Jingping Jiang. Implemening self-organizing fuzzy controllers with hybrid Pi-Sigma neural networks. In: The Third International Workshop on Advanced Motion Control, Berkeley, California, USA, 1993

    160. [return to top]

    1992

  160. Yaochu Jin, Jingping Jiang. Fuzzy logic intergrated variable structure control of a class of nonlinear systems. Control and Decision, 7(1):36-40, 1992 (in Chinese)

  161. Yaochu Jin, Jingping Jiang. Artificial neural networks in robot control- A survey. Robot, 14(6):54-58, 1992 (in Chinese)

  162. Yaochu Jin, Jingping Jiang. Neural network as fuzzy membership functions in neural fuzzy systems. In: Proceedings of the Chinese National Youth Conference on Robotics and Automation. Harbin, August, 1992 (in Chinese)

    163. [return to top]

    1990

  163. Yaochu Jin, Jingping Jiang. A novel robust adaptive control of robot manipulators. In: Proceedings of the Chinese National Conference on Robotics and Automation, Harbin, Oct., 1990 (in Chinese)

  164. Yaochu Jin Dynamic control of robot manipulators. Master thesis. Electrical Eng. Dept., Zhejiang University, Hangzhou, December 1990

    165. [return to top]

Last update in February, 2010. Please pay attention to the copyrights. For enquiries, contact Yaochu Jin.