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Yaochu Jin Vis

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*2009
70EEYaochu Jin, Lipo Wang: Fuzzy Systems in Bioinformatics and Computational Biology Springer 2009
69EEYaochu Jin, Bernhard Sendhoff: Fuzzy Logic in Evolving in silicoOscillatory Dynamics for Gene Regulatory Networks. Fuzzy Systems in Bioinformatics and Computational Biology 2009: 315-327
68EEYaochu Jin, Robin Gruna, Bernhard Sendhoff: Pareto analysis of evolutionary and learning systems. Frontiers of Computer Science in China 3(1): 4-17 (2009)
2008
67EETill Steiner, Yaochu Jin, Bernhard Sendhoff: A cellular model for the evolutionary development of lightweight material with an inner structure. GECCO 2008: 851-858
66EEDudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff: Evolutionary Optimization with Dynamic Fidelity Computational Models. ICIC (2) 2008: 235-242
65EEBen Jones, Yaochu Jin, Xin Yao, Bernhard Sendhoff: Evolution of Neural Organization in a Hydra-Like Animat. ICONIP (1) 2008: 216-223
64EEYaochu Jin, Lisa Schramm, Bernhard Sendhoff: A Gene Regulatory Model for the Development of Primitive Nervous Systems. ICONIP (1) 2008: 48-55
63EEAimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff: Combination of EDA and DE for continuous biobjective optimization. IEEE Congress on Evolutionary Computation 2008: 1447-1454
62EENeale 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
61EEYaochu Jin, Bernhard Sendhoff: Evolving in silico bistable and oscillatory dynamics for gene regulatory network motifs. IEEE Congress on Evolutionary Computation 2008: 386-391
60EEYi Cao, Yaochu Jin, Michal Kowalczykiewicz, Bernhard Sendhoff: Prediction of convergence dynamics of design performance using differential recurrent neural networks. IJCNN 2008: 528-533
59EETheodor 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
58EEYaochu 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
57EEQingfu 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)
56EEYaochu 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
54EEIngo Paenke, Jürgen Branke, Yaochu Jin: On the Influence of Phenotype Plasticity on Genotype Diversity. FOCI 2007: 33-40
53EEDudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff: A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation. GECCO 2007: 1288-1295
52EEAimin 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
51EEYaochu Jin: Pareto-based Multi-Objective Machine Learning. HIS 2007: 2
50EEYaochu Jin, Ruojing Wen, Bernhard Sendhoff: Evolutionary Multi-objective Optimization of Spiking Neural Networks. ICANN (1) 2007: 370-379
49EEAimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff: Adaptivemodelling strategy for continuous multi-objective optimization. IEEE Congress on Evolutionary Computation 2007: 431-437
48EETill Steiner, Lisa Schramm, Yaochu Jin, Bernhard Sendhoff: Emergence of feedback in artificial gene regulatory networks. IEEE Congress on Evolutionary Computation 2007: 867-874
47EELars 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
46EEDudy 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
45EEDudy 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
43EEAimin 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
42EEYaochu Jin, Bernhard Sendhoff: Alleviating Catastrophic Forgetting via Multi-Objective Learning. IJCNN 2006: 3335-3342
41EELars Gräning, Yaochu Jin, Bernhard Sendhoff: Generalization Improvement in Multi-Objective Learning. IJCNN 2006: 4839-4846
40EEAimin 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
39EEYaochu Jin, Bernhard Sendhoff, Edgar Körner: Simultaneous Generation of Accurate and Interpretable Neural Network Classifiers. Multi-Objective Machine Learning 2006: 291-312
38EEHanli 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
37EEShengxiang 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)
36EEDudy 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)
35EEIngo 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
31EEAimin 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
30EEVineet 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
29EETatsuya Okabe, Yaochu Jin, Bernhard Sendhoff: A new approach to dynamics analysis of genetic algorithms without selection. Congress on Evolutionary Computation 2005: 374-381
28EETatsuya Okabe, Yaochu Jin, Bernhard Sendhoff: Theoretical comparisons of search dynamics of genetic algorithms and evolution strategies. Congress on Evolutionary Computation 2005: 382-389
27EEYaochu Jin, Bernhard Sendhoff, Edgar Körner: Evolutionary Multi-objective Optimization for Simultaneous Generation of Signal-Type and Symbol-Type Representations. EMO 2005: 752-766
26EELars Gräning, Yaochu Jin, Bernhard Sendhoff: Efficient evolutionary optimization using individual-based evolution control and neural networks: A comparative study. ESANN 2005: 273-278
25EEYaochu Jin, Markus Olhofer, Bernhard Sendhoff: On Evolutionary Optimization of Large Problems Using Small Populations. ICNC (2) 2005: 1145-1154
24EEHanli 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)
23EEYaochu Jin, Jürgen Branke: Evolutionary optimization in uncertain environments-a survey. IEEE Trans. Evolutionary Computation 9(3): 303-317 (2005)
22EEHanli 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)
21EEYaochu Jin, Sushil J. Louis, Khaled Rasheed: Guest Editorial. Soft Comput. 9(1): 1-2 (2005)
20EEMichael Hüsken, Yaochu Jin, Bernhard Sendhoff: Structure optimization of neural networks for evolutionary design optimization. Soft Comput. 9(1): 21-28 (2005)
19EEYaochu 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
17EEYaochu Jin, Bernhard Sendhoff: Constructing Dynamic Optimization Test Problems Using the Multi-objective Optimization Concept. EvoWorkshops 2004: 525-536
16EEYaochu Jin, Bernhard Sendhoff: Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles. GECCO (1) 2004: 688-699
15EETatsuya Okabe, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff: On Test Functions for Evolutionary Multi-objective Optimization. PPSN 2004: 792-802
2003
14EEYaochu Jin, Bernhard Sendhoff: Trade-Off between Performance and Robustness: An Evolutionary Multiobjective Approach. EMO 2003: 237-251
13EEYaochu Jin, Tatsuya Okabe, Bernhard Sendhoff: Solving Three-Objective Optimization Problems Using Evolutionary Dynamic Weighted Aggregation: Results and Analysis. GECCO 2003: 636-637
12EETatsuya 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
11EELars 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
5EEYaochu 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

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

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)