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Publication search results
found 76 matches
- 2019
- Alexandros Agapitos, Róisín Loughran, Miguel Nicolau, Simon M. Lucas, Michael O'Neill, Anthony Brabazon:
A Survey of Statistical Machine Learning Elements in Genetic Programming. IEEE Trans. Evol. Comput. 23(6): 1029-1048 (2019) - Tim Blackwell, James Kennedy:
Impact of Communication Topology in Particle Swarm Optimization. IEEE Trans. Evol. Comput. 23(4): 689-702 (2019) - Elijah Bolluyt, Cristina Comaniciu:
Dynamic Influence on Replicator Evolution for the Propagation of Competing Technologies. IEEE Trans. Evol. Comput. 23(5): 899-903 (2019) - Mohammad Reza Bonyadi, David C. Reutens:
Optimal-Margin Evolutionary Classifier. IEEE Trans. Evol. Comput. 23(5): 885-898 (2019) - Yulian Cao, Han Zhang, Wenfeng Li, Mengchu Zhou, Yu Zhang, Wanpracha Art Chaovalitwongse:
Comprehensive Learning Particle Swarm Optimization Algorithm With Local Search for Multimodal Functions. IEEE Trans. Evol. Comput. 23(4): 718-731 (2019) - Wei-Neng Chen, Ya-Hui Jia, Feng Zhao, Xiaonan Luo, Xingdong Jia, Jun Zhang:
A Cooperative Co-Evolutionary Approach to Large-Scale Multisource Water Distribution Network Optimization. IEEE Trans. Evol. Comput. 23(5): 842-857 (2019) - Qi Chen, Bing Xue, Mengjie Zhang:
Improving Generalization of Genetic Programming for Symbolic Regression With Angle-Driven Geometric Semantic Operators. IEEE Trans. Evol. Comput. 23(3): 488-502 (2019) - Qi Chen, Mengjie Zhang, Bing Xue:
Structural Risk Minimization-Driven Genetic Programming for Enhancing Generalization in Symbolic Regression. IEEE Trans. Evol. Comput. 23(4): 703-717 (2019) - Ran Cheng, Mohammad Nabi Omidvar, Amir H. Gandomi, Bernhard Sendhoff, Stefan Menzel, Xin Yao:
Solving Incremental Optimization Problems via Cooperative Coevolution. IEEE Trans. Evol. Comput. 23(5): 762-775 (2019) - Kalyanmoy Deb, Rayan Hussein, Proteek Chandan Roy, Gregorio Toscano Pulido:
A Taxonomy for Metamodeling Frameworks for Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 23(1): 104-116 (2019) - Jingda Deng, Qingfu Zhang:
Approximating Hypervolume and Hypervolume Contributions Using Polar Coordinate. IEEE Trans. Evol. Comput. 23(5): 913-918 (2019) - Jinliang Ding, Cuie Yang, Yaochu Jin, Tianyou Chai:
Generalized Multitasking for Evolutionary Optimization of Expensive Problems. IEEE Trans. Evol. Comput. 23(1): 44-58 (2019) - Xin Fei, Jürgen Branke, Nalan Gülpinar:
New Sampling Strategies When Searching for Robust Solutions. IEEE Trans. Evol. Comput. 23(2): 273-287 (2019) - Hongwei Ge, Mingde Zhao, Liang Sun, Zhen Wang, Guozhen Tan, Qiang Zhang, C. L. Philip Chen:
A Many-Objective Evolutionary Algorithm With Two Interacting Processes: Cascade Clustering and Reference Point Incremental Learning. IEEE Trans. Evol. Comput. 23(4): 572-586 (2019) - Maoguo Gong, Hao Li, Deyu Meng, Qiguang Miao, Jia Liu:
Decomposition-Based Evolutionary Multiobjective Optimization to Self-Paced Learning. IEEE Trans. Evol. Comput. 23(2): 288-302 (2019) - Maoguo Gong, Zedong Tang, Hao Li, Jun Zhang:
Evolutionary Multitasking With Dynamic Resource Allocating Strategy. IEEE Trans. Evol. Comput. 23(5): 858-869 (2019) - Daniele Gravina, Antonios Liapis, Georgios N. Yannakakis:
Quality Diversity Through Surprise. IEEE Trans. Evol. Comput. 23(4): 603-616 (2019) - Ahsanul Habib, Hemant Kumar Singh, Tinkle Chugh, Tapabrata Ray, Kaisa Miettinen:
A Multiple Surrogate Assisted Decomposition-Based Evolutionary Algorithm for Expensive Multi/Many-Objective Optimization. IEEE Trans. Evol. Comput. 23(6): 1000-1014 (2019) - Cheng He, Lianghao Li, Ye Tian, Xingyi Zhang, Ran Cheng, Yaochu Jin, Xin Yao:
Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation. IEEE Trans. Evol. Comput. 23(6): 949-961 (2019) - Zhenan He, Gary G. Yen, Zhang Yi:
Robust Multiobjective Optimization via Evolutionary Algorithms. IEEE Trans. Evol. Comput. 23(2): 316-330 (2019) - Xiaoyu He, Yuren Zhou, Zefeng Chen:
An Evolution Path-Based Reproduction Operator for Many-Objective Optimization. IEEE Trans. Evol. Comput. 23(1): 29-43 (2019) - Xiaoyu He, Yuren Zhou, Zefeng Chen:
Evolutionary Bilevel Optimization Based on Covariance Matrix Adaptation. IEEE Trans. Evol. Comput. 23(2): 258-272 (2019) - Xiaoyu He, Yuren Zhou, Zefeng Chen, Qingfu Zhang:
Evolutionary Many-Objective Optimization Based on Dynamical Decomposition. IEEE Trans. Evol. Comput. 23(3): 361-375 (2019) - Wenjing Hong, Ke Tang, Aimin Zhou, Hisao Ishibuchi, Xin Yao:
A Scalable Indicator-Based Evolutionary Algorithm for Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. 23(3): 525-537 (2019) - Qinghua Huang, Xianhai Huang, Zhoufan Kong, Xuelong Li, Dacheng Tao:
Bi-Phase Evolutionary Searching for Biclusters in Gene Expression Data. IEEE Trans. Evol. Comput. 23(5): 803-814 (2019) - Ya-Hui Jia, Wei-Neng Chen, Tianlong Gu, Huaxiang Zhang, Huaqiang Yuan, Sam Kwong, Jun Zhang:
Distributed Cooperative Co-Evolution With Adaptive Computing Resource Allocation for Large Scale Optimization. IEEE Trans. Evol. Comput. 23(2): 188-202 (2019) - Yan Jin, Jin-Kao Hao:
Solving the Latin Square Completion Problem by Memetic Graph Coloring. IEEE Trans. Evol. Comput. 23(6): 1015-1028 (2019) - Yaochu Jin, Handing Wang, Tinkle Chugh, Dan Guo, Kaisa Miettinen:
Data-Driven Evolutionary Optimization: An Overview and Case Studies. IEEE Trans. Evol. Comput. 23(3): 442-458 (2019) - Ke Li, Renzhi Chen, Guangtao Fu, Xin Yao:
Two-Archive Evolutionary Algorithm for Constrained Multiobjective Optimization. IEEE Trans. Evol. Comput. 23(2): 303-315 (2019) - Hui Li, Kalyanmoy Deb, Qingfu Zhang:
Variable-Length Pareto Optimization via Decomposition-Based Evolutionary Multiobjective Algorithm. IEEE Trans. Evol. Comput. 23(6): 987-999 (2019)
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