Yaochu Jin

	2009
72		Yaochu Jin, Lipo Wang: Fuzzy Systems in Bioinformatics and Computational Biology Springer 2009
71		Yaochu Jin, Hongliang Guo, Yan Meng: Robustness Analysis and Failure Recovery of a Bio-Inspired Self-Organizing Multi-Robot System. SASO 2009: 154-164
70		Yaochu Jin, Bernhard Sendhoff: Fuzzy Logic in Evolving in silicoOscillatory Dynamics for Gene Regulatory Networks. Fuzzy Systems in Bioinformatics and Computational Biology 2009: 315-327
69		Yaochu Jin, Robin Gruna, Bernhard Sendhoff: Pareto analysis of evolutionary and learning systems. Frontiers of Computer Science in China 3(1): 4-17 (2009)
68		Minh Nghia Le, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff: Lamarckian memetic algorithms: local optimum and connectivity structure analysis. Memetic Computing 1(3): 175-190 (2009)
	2008
67		Till Steiner, Yaochu Jin, Bernhard Sendhoff: A cellular model for the evolutionary development of lightweight material with an inner structure. GECCO 2008: 851-858
66		Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff: Evolutionary Optimization with Dynamic Fidelity Computational Models. ICIC (2) 2008: 235-242
65		Ben Jones, Yaochu Jin, Xin Yao, Bernhard Sendhoff: Evolution of Neural Organization in a Hydra-Like Animat. ICONIP (1) 2008: 216-223
64		Yaochu Jin, Lisa Schramm, Bernhard Sendhoff: A Gene Regulatory Model for the Development of Primitive Nervous Systems. ICONIP (1) 2008: 48-55
63		Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff: Combination of EDA and DE for continuous biobjective optimization. IEEE Congress on Evolutionary Computation 2008: 1447-1454
62		Neale Samways, Yaochu Jin, Xin Yao, Bernhard Sendhoff: Toward a gene regulatory network model for evolving chemotaxis behavior. IEEE Congress on Evolutionary Computation 2008: 2569-2576
61		Yaochu Jin, Bernhard Sendhoff: Evolving in silico bistable and oscillatory dynamics for gene regulatory network motifs. IEEE Congress on Evolutionary Computation 2008: 386-391
60		Yi Cao, Yaochu Jin, Michal Kowalczykiewicz, Bernhard Sendhoff: Prediction of convergence dynamics of design performance using differential recurrent neural networks. IJCNN 2008: 528-533
59		Theodor Stewart, Oliver Bandte, Heinrich Braun, Nirupam Chakraborti, Matthias Ehrgott, Mathias Göbelt, Yaochu Jin, Hirotaka Nakayama, Silvia Poles, Danilo Di Stefano: Real-World Applications of Multiobjective Optimization. Multiobjective Optimization 2008: 285-327
58		Yaochu Jin, Bernhard Sendhoff, Edgar Körner: Rule Extraction from Compact Pareto-optimal Neural Networks. Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases 2008: 71-90
57		Qingfu Zhang, Aimin Zhou, Yaochu Jin: RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm. IEEE Trans. Evolutionary Computation 12(1): 41-63 (2008)
56		Yaochu Jin, Bernhard Sendhoff: Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies. IEEE Transactions on Systems, Man, and Cybernetics, Part C 38(3): 397-415 (2008)
	2007
55		Shengxiang Yang, Yew-Soon Ong, Yaochu Jin: Evolutionary Computation in Dynamic and Uncertain Environments Springer 2007
54		Ingo Paenke, Jürgen Branke, Yaochu Jin: On the Influence of Phenotype Plasticity on Genotype Diversity. FOCI 2007: 33-40
53		Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff: A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation. GECCO 2007: 1288-1295
52		Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff, Edward P. K. Tsang: Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover. GECCO 2007: 617-623
51		Yaochu Jin: Pareto-based Multi-Objective Machine Learning. HIS 2007: 2
50		Yaochu Jin, Ruojing Wen, Bernhard Sendhoff: Evolutionary Multi-objective Optimization of Spiking Neural Networks. ICANN (1) 2007: 370-379
49		Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff: Adaptivemodelling strategy for continuous multi-objective optimization. IEEE Congress on Evolutionary Computation 2007: 431-437
48		Till Steiner, Lisa Schramm, Yaochu Jin, Bernhard Sendhoff: Emergence of feedback in artificial gene regulatory networks. IEEE Congress on Evolutionary Computation 2007: 867-874
47		Lars Gräning, Yaochu Jin, Bernhard Sendhoff: Individual-based Management of Meta-models for Evolutionary Optimization with Application to Three-Dimensional Blade Optimization. Evolutionary Computation in Dynamic and Uncertain Environments 2007: 225-250
46		Dudy Lim, Yew-Soon Ong, Meng-Hiot Lim, Yaochu Jin: Single/Multi-objective Inverse Robust Evolutionary Design Methodology in the Presence of Uncertainty. Evolutionary Computation in Dynamic and Uncertain Environments 2007: 437-456
45		Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff, Bu-Sung Lee: Efficient Hierarchical Parallel Genetic Algorithms using Grid computing. Future Generation Comp. Syst. 23(4): 658-670 (2007)
	2006
44		Yaochu Jin: Multi-Objective Machine Learning Springer 2006
43		Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sendhoff, Edward P. K. Tsang: Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization. EMO 2006: 832-846
42		Yaochu Jin, Bernhard Sendhoff: Alleviating Catastrophic Forgetting via Multi-Objective Learning. IJCNN 2006: 3335-3342
41		Lars Gräning, Yaochu Jin, Bernhard Sendhoff: Generalization Improvement in Multi-Objective Learning. IJCNN 2006: 4839-4846
40		Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff, Edward P. K. Tsang: Modelling the Population Distribution in Multi-objective Optimization by Generative Topographic Mapping. PPSN 2006: 443-452
39		Yaochu Jin, Bernhard Sendhoff, Edgar Körner: Simultaneous Generation of Accurate and Interpretable Neural Network Classifiers. Multi-Objective Machine Learning 2006: 291-312
38		Hanli Wang, Sam Kwong, Yaochu Jin, Chi-Ho Tsang: Agent Based Multi-Objective Approach to Generating Interpretable Fuzzy Systems. Multi-Objective Machine Learning 2006: 339-364
37		Shengxiang Yang, Yew-Soon Ong, Yaochu Jin: Editorial to special issue on evolutionary computation in dynamic and uncertain environments. Genetic Programming and Evolvable Machines 7(4): 293-294 (2006)
36		Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff, Bu-Sung Lee: Inverse multi-objective robust evolutionary design. Genetic Programming and Evolvable Machines 7(4): 383-404 (2006)
35		Ingo Paenke, Jürgen Branke, Yaochu Jin: Efficient search for robust solutions by means of evolutionary algorithms and fitness approximation. IEEE Trans. Evolutionary Computation 10(4): 405-420 (2006)
	2005
34		Franz Rothlauf, Jürgen Branke, Stefano Cagnoni, David W. Corne, Rolf Drechsler, Yaochu Jin, Penousal Machado, Elena Marchiori, Juan Romero, George D. Smith, Giovanni Squillero: Applications of Evolutionary Computing, EvoWorkshops 2005: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, and EvoSTOC, Lausanne, Switzerland, March 30 - April 1, 2005, Proceedings Springer 2005
33		Lipo Wang, Yaochu Jin: Fuzzy Systems and Knowledge Discovery, Second International Conference, FSKD 2005, Changsha, China, August 27-29, 2005, Proceedings, Part I Springer 2005
32		Lipo Wang, Yaochu Jin: Fuzzy Systems and Knowledge Discovery, Second International Conference, FSKD 2005, Changsha, China, August 27-29, 2005, Proceedings, Part II Springer 2005
31		Aimin Zhou, Qingfu Zhang, Yaochu Jin, Edward P. K. Tsang, Tatsuya Okabe: A model-based evolutionary algorithm for bi-objective optimization. Congress on Evolutionary Computation 2005: 2568-2575
30		Vineet R. Khare, Xin Yao, Bernhard Sendhoff, Yaochu Jin, Heiko Wersing: Co-evolutionary modular neural networks for automatic problem decomposition. Congress on Evolutionary Computation 2005: 2691-2698
29		Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff: A new approach to dynamics analysis of genetic algorithms without selection. Congress on Evolutionary Computation 2005: 374-381
28		Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff: Theoretical comparisons of search dynamics of genetic algorithms and evolution strategies. Congress on Evolutionary Computation 2005: 382-389
27		Yaochu Jin, Bernhard Sendhoff, Edgar Körner: Evolutionary Multi-objective Optimization for Simultaneous Generation of Signal-Type and Symbol-Type Representations. EMO 2005: 752-766
26		Lars Gräning, Yaochu Jin, Bernhard Sendhoff: Efficient evolutionary optimization using individual-based evolution control and neural networks: A comparative study. ESANN 2005: 273-278
25		Yaochu Jin, Markus Olhofer, Bernhard Sendhoff: On Evolutionary Optimization of Large Problems Using Small Populations. ICNC (2) 2005: 1145-1154
24		Hanli Wang, Sam Kwong, Yaochu Jin, Wei Wei, Kim-Fung Man: Multi-objective hierarchical genetic algorithm for interpretable fuzzy rule-based knowledge extraction. Fuzzy Sets and Systems 149(1): 149-186 (2005)
23		Yaochu Jin, Jürgen Branke: Evolutionary optimization in uncertain environments-a survey. IEEE Trans. Evolutionary Computation 9(3): 303-317 (2005)
22		Hanli Wang, Sam Kwong, Yaochu Jin, Wei Wei, Kim-Fung Man: Agent-based evolutionary approach for interpretable rule-based knowledge extraction. IEEE Transactions on Systems, Man, and Cybernetics, Part C 35(2): 143-155 (2005)
21		Yaochu Jin, Sushil J. Louis, Khaled Rasheed: Guest Editorial. Soft Comput. 9(1): 1-2 (2005)
20		Michael Hüsken, Yaochu Jin, Bernhard Sendhoff: Structure optimization of neural networks for evolutionary design optimization. Soft Comput. 9(1): 21-28 (2005)
19		Yaochu Jin: A comprehensive survey of fitness approximation in evolutionary computation. Soft Comput. 9(1): 3-12 (2005)
	2004
18		Günther R. Raidl, Stefano Cagnoni, Jürgen Branke, David Corne, Rolf Drechsler, Yaochu Jin, Colin G. Johnson, Penousal Machado, Elena Marchiori, Franz Rothlauf, George D. Smith, Giovanni Squillero: Applications of Evolutionary Computing, EvoWorkshops 2004: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, and EvoSTOC, Coimbra, Portugal, April 5-7, 2004, Proceedings Springer 2004
17		Yaochu Jin, Bernhard Sendhoff: Constructing Dynamic Optimization Test Problems Using the Multi-objective Optimization Concept. EvoWorkshops 2004: 525-536
16		Yaochu Jin, Bernhard Sendhoff: Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles. GECCO (1) 2004: 688-699
15		Tatsuya Okabe, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff: On Test Functions for Evolutionary Multi-objective Optimization. PPSN 2004: 792-802
	2003
14		Yaochu Jin, Bernhard Sendhoff: Trade-Off between Performance and Robustness: An Evolutionary Multiobjective Approach. EMO 2003: 237-251
13		Yaochu Jin, Tatsuya Okabe, Bernhard Sendhoff: Solving Three-Objective Optimization Problems Using Evolutionary Dynamic Weighted Aggregation: Results and Analysis. GECCO 2003: 636-637
12		Tatsuya Okabe, Kwasi Foli, Markus Olhofer, Yaochu Jin, Bernhard Sendhoff: Comparative studies on micro heat exchanger optimisation. IEEE Congress on Evolutionary Computation (1) 2003: 647-654
11		Lars Willmes, Thomas Bäck, Yaochu Jin, Bernhard Sendhoff: Comparing neural networks and Kriging for fitness approximation in evolutionary optimization. IEEE Congress on Evolutionary Computation (1) 2003: 663-670
10		Yaochu Jin, Bernhard Sendhoff: Extracting Interpretable Fuzzy Rules from RBF Networks. Neural Processing Letters 17(2): 149-164 (2003)
	2002
9		Yaochu Jin, Bernhard Sendhoff: Fitness Approximation In Evolutionary Computation - a Survey. GECCO 2002: 1105-1112
8		Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff: On The Dynamics Of Evolutionary Multi-objective Optimization. GECCO 2002: 247-256
7		Yaochu Jin, Bernhard Sendhoff: Incorporation Of Fuzzy Preferences Into Evolutionary Multiobjective Optimization. GECCO 2002: 683
6		Yaochu Jin, Markus Olhofer, Bernhard Sendhoff: A framework for evolutionary optimization with approximate fitness functions. IEEE Trans. Evolutionary Computation 6(5): 481-494 (2002)
	2001
5		Yaochu Jin, Tatsuya Okabe, Bernhard Sendhoff: Adapting Weighted Aggregation for Multiobjective Evolution Strategies. EMO 2001: 96-110
	2000
4		Yaochu Jin, Markus Olhofer, Bernhard Sendhoff: On Evolutionary Optimization with Approximate Fitness Functions. GECCO 2000: 786-793
	1999
3		Yaochu Jin, Werner von Seelen, Bernhard Sendhoff: On generating FC3 fuzzy rule systems from data using evolution strategies. IEEE Transactions on Systems, Man, and Cybernetics, Part B 29(6): 829-845 (1999)
2		Yaochu Jin, Bernhard Sendhoff: Knowledge Incorporation into Neural Networks From Fuzzy Rules. Neural Processing Letters 10(3): 231-242 (1999)
	1998
1		Yaochu Jin: Decentralized adaptive fuzzy control of robot manipulators. IEEE Transactions on Systems, Man, and Cybernetics, Part B 28(1): 47-57 (1998)

Coauthor Index

1	Thomas Bäck	[11]
2	Oliver Bandte	[59]
3	Jürgen Branke	[18] [23] [34] [35] [54]
4	Heinrich Braun	[59]
5	Stefano Cagnoni	[18] [34]
6	Yi Cao	[60]
7	Nirupam Chakraborti	[59]
8	David W. Corne (David Corne)	[18] [34]
9	Rolf Drechsler	[18] [34]
10	Matthias Ehrgott	[59]
11	Kwasi Foli	[12]
12	Mathias Göbelt	[59]
13	Lars Gräning	[26] [41] [47]
14	Robin Gruna	[69]
15	Hongliang Guo	[71]
16	Michael Hüsken	[20]
17	Colin G. Johnson	[18]
18	Ben Jones	[65]
19	Vineet R. Khare	[30]
20	Edgar Körner	[27] [39] [58]
21	Michal Kowalczykiewicz	[60]
22	Sam Kwong	[22] [24] [38]
23	Minh Nghia Le	[68]
24	Bu-Sung Lee (Francis Bu-Sung Lee)	[36] [45]
25	Dudy Lim	[36] [45] [46] [53] [66]
26	Meng-Hiot Lim	[46]
27	Sushil J. Louis	[21]
28	Penousal Machado	[18] [34]
29	Kim-Fung Man	[22] [24]
30	Elena Marchiori	[18] [34]
31	Yan Meng	[71]
32	Hirotaka Nakayama	[59]
33	Tatsuya Okabe	[5] [8] [12] [13] [15] [28] [29] [31]
34	Markus Olhofer	[4] [6] [12] [15] [25]
35	Yew-Soon Ong	[36] [37] [45] [46] [53] [55] [66] [68]
36	Ingo Paenke	[35] [54]
37	Silvia Poles	[59]
38	Günther R. Raidl	[18]
39	Khaled Rasheed	[21]
40	Juan Romero	[34]
41	Franz Rothlauf	[18] [34]
42	Neale Samways	[62]
43	Lisa Schramm	[48] [64]
44	Werner von Seelen	[3]
45	Bernhard Sendhoff	[2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [20] [25] [26] [27] [28] [29] [30] [36] [39] [40] [41] [42] [43] [45] [47] [48] [49] [50] [52] [53] [56] [58] [60] [61] [62] [63] [64] [65] [66] [67] [68] [69] [70]
46	George D. Smith	[18] [34]
47	Giovanni Squillero	[18] [34]
48	Danilo Di Stefano	[59]
49	Till Steiner	[48] [67]
50	Theodor Stewart	[59]
51	Chi-Ho Tsang	[38]
52	Edward P. K. Tsang	[31] [40] [43] [52]
53	Hanli Wang	[22] [24] [38]
54	Lipo Wang	[32] [33] [72]
55	Wei Wei	[22] [24]
56	Ruojing Wen	[50]
57	Heiko Wersing	[30]
58	Lars Willmes	[11]
59	Shengxiang Yang	[37] [55]
60	Xin Yao	[30] [62] [65]
61	Qingfu Zhang	[31] [40] [43] [49] [52] [57] [63]
62	Aimin Zhou	[31] [40] [43] [49] [52] [57] [63]

Colors in the list of coauthors