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Ying-Ping Chen
2010 – today
- 2013
[j8]Jih-Yiing Lin, Ying-Ping Chen: Population sizing for inductive linkage identification. Int. J. Systems Science 44(1): 1-13 (2013)- 2012
- [c25]Jih-Yiing Lin, Ying-Ping Chen: When and what kind of memetic algorithms perform well. IEEE Congress on Evolutionary Computation 2012: 1-8
- [c24]Pei-Chuan Tsai, Chih-Ming Chen, Ying-Ping Chen: Sparse degrees analysis for LT Codes Optimization. IEEE Congress on Evolutionary Computation 2012: 1-6
- 2011
- [j7]Chao-Hong Chen, Ying-Ping Chen: Convergence Time Analysis of Particle Swarm Optimization Based on Particle Interaction. Adv. Artificial Intellegence 2011 (2011)
- [j6]Jih-Yiing Lin, Ying-Ping Chen: Analysis on the Collaboration Between Global Search and Local Search in Memetic Computation. IEEE Trans. Evolutionary Computation 15(5): 608-623 (2011)
- 2010
- [j5]Ying-Ping Chen, Chao-Hong Chen: Enabling the Extended Compact Genetic Algorithm for Real-Parameter Optimization by Using Adaptive Discretization. Evolutionary Computation 18(2): 199-228 (2010)
- [c23]Chih-Ming Chen, Ying-Ping Chen, Tzu-Ching Shen, John K. Zao: On the optimization of degree distributions in LT code with covariance matrix adaptation evolution strategy. IEEE Congress on Evolutionary Computation 2010: 1-8
- [c22]Chih-Ming Chen, Ying-Ping Chen, Tzu-Ching Shen, John K. Zao: Optimizing degree distributions in LT codes by using the multiobjective evolutionary algorithm based on decomposition. IEEE Congress on Evolutionary Computation 2010: 1-8
2000 – 2009
- 2009
- [c21]Chih-Ming Chen, Ying-Ping Chen, Qingfu Zhang: Enhancing MOEA/D with guided mutation and priority update for multi-objective optimization. IEEE Congress on Evolutionary Computation 2009: 209-216
- 2008
- [e1]Ying-Ping Chen, Meng-Hiot Lim (Eds.): Linkage in Evolutionary Computation. Studies in Computational Intelligence 157, Springer 2008, ISBN 978-3-540-85067-0
- [c20]Jiun-Jiue Liou, Ying-Ping Chen: Adaptive discretization on multidimensional continuous search spaces. GECCO 2008: 977-984
- 2007
- [j4]Ying-Ping Chen, Wen-Chih Peng, Ming-chung Jian: Particle Swarm Optimization With Recombination and Dynamic Linkage Discovery. IEEE Transactions on Systems, Man, and Cybernetics, Part B 37(6): 1460-1470 (2007)
- [c19]Chang-Tai Hsieh, Chih-Ming Chen, Ying-Ping Chen: Particle swarm guided evolution strategy. GECCO 2007: 650-657
- [c18]
- [c17]
- [c16]Ping-Chu Hung, Ying-Ping Chen, Hsiao Wen Zan: Characteristic determination for solid state devices with evolutionary computation: a case study. GECCO 2007: 2029-2036
- 2006
- [c15]Ming-chung Jian, Ying-Ping Chen: Introducing recombination with dynamic linkage discovery to particle swarm optimization. GECCO 2006: 85-86
- [c14]Chao-Hong Chen, Wei-Nan Liu, Ying-Ping Chen: Adaptive discretization for probabilistic model building genetic algorithms. GECCO 2006: 1103-1110
- [c13]Ping-Chu Hung, Ying-Ping Chen: iECGA: integer extended compact genetic algorithm. GECCO 2006: 1415-1416
- [c12]
- [c11]Tao-yang Fu, Tsu-yu Wu, Chin-te Chen, Kai-chu Wu, Ying-Ping Chen: Evolutionary interactive music composition. GECCO 2006: 1863-1864
- 2005
- [j3]Ying-Ping Chen, David E. Goldberg: Convergence Time for the Linkage Learning Genetic Algorithm. Evolutionary Computation 13(3): 279-302 (2005)
- 2004
- [c10]Ying-Ping Chen, David E. Goldberg: Introducing Subchromosome Representations to the Linkage Learning Genetic Algorithm. GECCO (1) 2004: 971-982
- [c9]Xavier Llorà, Kei Ohnishi, Ying-Ping Chen, David E. Goldberg, Michael Welge: Enhanced Innovation: A Fusion of Chance Discovery and Evolutionary Computation to Foster Creative Processes and Decision Making. GECCO (2) 2004: 1314-1315
- [c8]Kei Ohnishi, Kumara Sastry, Ying-Ping Chen, David E. Goldberg: Inducing Sequentiality Using Grammatical Genetic Codes. GECCO (1) 2004: 1426-1437
- 2003
- [c7]Ying-Ping Chen, David E. Goldberg: An Analysis of a Reordering Operator with Tournament Selection on a GA-Hard Problem. GECCO 2003: 825-836
- [c6]Ying-Ping Chen, David E. Goldberg: Tightness Time for the Linkage Learning Genetic Algorithm. GECCO 2003: 837-849
- [c5]Tian-Li Yu, David E. Goldberg, Ali Yassine, Ying-Ping Chen: Genetic Algorithm Design Inspired by Organizational Theory: Pilot Study of a Dependency Structure Matrix Driven Genetic Algorithm. GECCO 2003: 1620-1621
- 2002
- [c4]Abhishek Singh, David E. Goldberg, Ying-Ping Chen: Modified Linkage Learning Genetic Algorithm for Difficult Non-Stationary Problems. GECCO Late Breaking Papers 2002: 419-426
- [c3]Abhishek Singh, David E. Goldberg, Ying-Ping Chen: Modified Linkage Learning Genetic Algorithm For Difficult Non-stationary Problems. GECCO 2002: 699
- [c2]Ying-Ping Chen, David E. Goldberg: Introducing Start Expression Genes to the Linkage Learning Genetic Algorithm. PPSN 2002: 351-360
- 2001
- [j2]Jorng-Tzong Horng, Ying-Ping Chen, Cheng-Yan Kao: A Theoetical Aspect of a Stochastic Sketching Method for Global Optimization. J. Inf. Sci. Eng. 17(1): 47-71 (2001)
1990 – 1999
- 1999
- [j1]Ying-Ping Chen, Jorng-Tzong Horng, Cheng-Yan Kao: Stochastic sketching: a new method for global optimization. Soft Comput. 3(2): 101-110 (1999)
- 1997
- [c1]Jinn-Moon Yang, Ying-Ping Chen, Jorng-Tzong Horng, Cheng-Yan Kao: Applying Family Competition to Evolution Strategies for Constrained Optimization. Evolutionary Programming 1997: 201-211
Coauthor Index
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last updated on 2012-12-02 22:03 CET by the dblp team