2009 | ||
---|---|---|
68 | EE | Yaochu Jin, Lipo Wang: Fuzzy Systems in Bioinformatics and Computational Biology Springer 2009 |
67 | EE | 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 |
66 | EE | Yaochu Jin, Robin Gruna, Bernhard Sendhoff: Pareto analysis of evolutionary and learning systems. Frontiers of Computer Science in China 3(1): 4-17 (2009) |
2008 | ||
65 | EE | Till Steiner, Yaochu Jin, Bernhard Sendhoff: A cellular model for the evolutionary development of lightweight material with an inner structure. GECCO 2008: 851-858 |
64 | EE | Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff: Evolutionary Optimization with Dynamic Fidelity Computational Models. ICIC (2) 2008: 235-242 |
63 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | Ingo Paenke, Jürgen Branke, Yaochu Jin: On the Influence of Phenotype Plasticity on Genotype Diversity. FOCI 2007: 33-40 |
53 | EE | 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 | EE | 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 | EE | Yaochu Jin: Pareto-based Multi-Objective Machine Learning. HIS 2007: 2 |
50 | EE | Yaochu Jin, Ruojing Wen, Bernhard Sendhoff: Evolutionary Multi-objective Optimization of Spiking Neural Networks. ICANN (1) 2007: 370-379 |
49 | EE | Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff: Adaptivemodelling strategy for continuous multi-objective optimization. IEEE Congress on Evolutionary Computation 2007: 431-437 |
48 | EE | Till Steiner, L. Schramm, Yaochu Jin, Bernhard Sendhoff: Emergence of feedback in artificial gene regulatory networks. IEEE Congress on Evolutionary Computation 2007: 867-874 |
47 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | Yaochu Jin, Bernhard Sendhoff: Alleviating Catastrophic Forgetting via Multi-Objective Learning. IJCNN 2006: 3335-3342 |
41 | EE | Lars Gräning, Yaochu Jin, Bernhard Sendhoff: Generalization Improvement in Multi-Objective Learning. IJCNN 2006: 4839-4846 |
40 | EE | 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 | EE | Yaochu Jin, Bernhard Sendhoff, Edgar Körner: Simultaneous Generation of Accurate and Interpretable Neural Network Classifiers. Multi-Objective Machine Learning 2006: 291-312 |
38 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | Yaochu Jin, Markus Olhofer, Bernhard Sendhoff: On Evolutionary Optimization of Large Problems Using Small Populations. ICNC (2) 2005: 1145-1154 |
24 | EE | 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 | EE | Yaochu Jin, Jürgen Branke: Evolutionary optimization in uncertain environments-a survey. IEEE Trans. Evolutionary Computation 9(3): 303-317 (2005) |
22 | EE | 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 | EE | Yaochu Jin, Sushil J. Louis, Khaled Rasheed: Guest Editorial. Soft Comput. 9(1): 1-2 (2005) |
20 | EE | Michael Hüsken, Yaochu Jin, Bernhard Sendhoff: Structure optimization of neural networks for evolutionary design optimization. Soft Comput. 9(1): 21-28 (2005) |
19 | EE | 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 | EE | Yaochu Jin, Bernhard Sendhoff: Constructing Dynamic Optimization Test Problems Using the Multi-objective Optimization Concept. EvoWorkshops 2004: 525-536 |
16 | EE | Yaochu Jin, Bernhard Sendhoff: Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles. GECCO (1) 2004: 688-699 |
15 | EE | Tatsuya Okabe, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff: On Test Functions for Evolutionary Multi-objective Optimization. PPSN 2004: 792-802 |
2003 | ||
14 | EE | Yaochu Jin, Bernhard Sendhoff: Trade-Off between Performance and Robustness: An Evolutionary Multiobjective Approach. EMO 2003: 237-251 |
13 | EE | Yaochu Jin, Tatsuya Okabe, Bernhard Sendhoff: Solving Three-Objective Optimization Problems Using Evolutionary Dynamic Weighted Aggregation: Results and Analysis. GECCO 2003: 636-637 |
12 | EE | 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 | EE | 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 | EE | 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) |