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) |