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ORCIDIEEE Transactions on Evolutionary Computation, Volume 23
Volume 23, Number 1, February 2019
- Wen Shi
, Wei-Neng Chen, Ying Lin, Tianlong Gu, Sam Kwong, Jun Zhang:
An Adaptive Estimation of Distribution Algorithm for Multipolicy Insurance Investment Planning. 1-14 - Alan Tan Wei Min, Yew-Soon Ong, Abhishek Gupta, Chi Keong Goh:
Multiproblem Surrogates: Transfer Evolutionary Multiobjective Optimization of Computationally Expensive Problems. 15-28 - Xiaoyu He, Yuren Zhou, Zefeng Chen:
An Evolution Path-Based Reproduction Operator for Many-Objective Optimization. 29-43 - Jinliang Ding, Cuie Yang, Yaochu Jin, Tianyou Chai:
Generalized Multitasking for Evolutionary Optimization of Expensive Problems. 44-58 - Wenwen Li, Ender Ozcan, Robert I. John:
A Learning Automata-Based Multiobjective Hyper-Heuristic. 59-73 - Linqiang Pan, Cheng He, Ye Tian, Handing Wang, Xingyi Zhang, Yaochu Jin:
A Classification-Based Surrogate-Assisted Evolutionary Algorithm for Expensive Many-Objective Optimization. 74-88 - Yanan Sun, Gary G. Yen, Zhang Yi:
Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations. 89-103 - Kalyanmoy Deb, Rayan Hussein, Proteek Chandan Roy, Gregorio Toscano Pulido:
A Taxonomy for Metamodeling Frameworks for Evolutionary Multiobjective Optimization. 104-116 - Tomasz P. Pawlak, Krzysztof Krawiec:
Synthesis of Constraints for Mathematical Programming With One-Class Genetic Programming. 117-129 - Saúl Zapotecas Martínez, Carlos A. Coello Coello, Hernán E. Aguirre, Kiyoshi Tanaka:
A Review of Features and Limitations of Existing Scalable Multiobjective Test Suites. 130-142 - Danial Yazdani, Trung Thanh Nguyen, Jürgen Branke:
Robust Optimization Over Time by Learning Problem Space Characteristics. 143-155 - Álvaro Rubio-Largo, Leonardo Vanneschi, Mauro Castelli, Miguel A. Vega-Rodríguez:
Multiobjective Metaheuristic to Design RNA Sequences. 156-169
Volume 23, Number 2, April 2019
- Yanan Sun, Gary G. Yen, Zhang Yi:
IGD Indicator-Based Evolutionary Algorithm for Many-Objective Optimization Problems. 173-187 - 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. 188-202 - Handing Wang, Yaochu Jin, Chaoli Sun, John Doherty:
Offline Data-Driven Evolutionary Optimization Using Selective Surrogate Ensembles. 203-216 - Zhenkun Wang, Yew-Soon Ong, Hisao Ishibuchi:
On Scalable Multiobjective Test Problems With Hardly Dominated Boundaries. 217-231 - Krzysztof Michalak:
Low-Dimensional Euclidean Embedding for Visualization of Search Spaces in Combinatorial Optimization. 232-246 - Chao Liu, Qi Zhao, Bai Yan, Saber M. Elsayed, Tapabrata Ray, Ruhul A. Sarker:
Adaptive Sorting-Based Evolutionary Algorithm for Many-Objective Optimization. 247-257 - Xiaoyu He, Yuren Zhou, Zefeng Chen:
Evolutionary Bilevel Optimization Based on Covariance Matrix Adaptation. 258-272 - Xin Fei, Jürgen Branke, Nalan Gülpinar:
New Sampling Strategies When Searching for Robust Solutions. 273-287 - Maoguo Gong, Hao Li, Deyu Meng, Qiguang Miao, Jia Liu:
Decomposition-Based Evolutionary Multiobjective Optimization to Self-Paced Learning. 288-302 - Ke Li, Renzhi Chen, Guangtao Fu, Xin Yao:
Two-Archive Evolutionary Algorithm for Constrained Multiobjective Optimization. 303-315 - Zhenan He, Gary G. Yen, Zhang Yi:
Robust Multiobjective Optimization via Evolutionary Algorithms. 316-330 - Ye Tian, Ran Cheng, Xingyi Zhang, Yansen Su, Yaochu Jin:
A Strengthened Dominance Relation Considering Convergence and Diversity for Evolutionary Many-Objective Optimization. 331-345 - Trinadh Pamulapati, Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan:
$I_{\rm SDE}$ + - An Indicator for Multi and Many-Objective Optimization. 346-352 - Ilya Loshchilov, Tobias Glasmachers, Hans-Georg Beyer:
Large Scale Black-Box Optimization by Limited-Memory Matrix Adaptation. 353-358
Volume 23, Number 3, June 2019
- Xiaoyu He, Yuren Zhou, Zefeng Chen, Qingfu Zhang:
Evolutionary Many-Objective Optimization Based on Dynamical Decomposition. 361-375 - Mengyuan Wu, Ke Li, Sam Kwong, Qingfu Zhang, Jun Zhang:
Learning to Decompose: A Paradigm for Decomposition-Based Multiobjective Optimization. 376-390 - Qiuzhen Lin, Songbai Liu, Ka-Chun Wong, Maoguo Gong, Carlos A. Coello Coello, Jianyong Chen, Jun Zhang:
A Clustering-Based Evolutionary Algorithm for Many-Objective Optimization Problems. 391-405 - Sebastian Starke, Norman Hendrich, Jianwei Zhang:
Memetic Evolution for Generic Full-Body Inverse Kinematics in Robotics and Animation. 406-420 - Xiaoliang Ma, Xiaodong Li, Qingfu Zhang, Ke Tang, Zhengping Liang, Weixin Xie, Zexuan Zhu:
A Survey on Cooperative Co-Evolutionary Algorithms. 421-441 - Yaochu Jin, Handing Wang, Tinkle Chugh, Dan Guo, Kaisa Miettinen:
Data-Driven Evolutionary Optimization: An Overview and Case Studies. 442-458 - Jie Tian, Ying Tan, Jianchao Zeng, Chaoli Sun, Yaochu Jin:
Multiobjective Infill Criterion Driven Gaussian Process-Assisted Particle Swarm Optimization of High-Dimensional Expensive Problems. 459-472 - Binh Tran, Bing Xue, Mengjie Zhang:
Variable-Length Particle Swarm Optimization for Feature Selection on High-Dimensional Classification. 473-487 - Qi Chen, Bing Xue, Mengjie Zhang:
Improving Generalization of Genetic Programming for Symbolic Regression With Angle-Driven Geometric Semantic Operators. 488-502 - Haitham Seada, Mohamed Abouhawwash, Kalyanmoy Deb:
Multiphase Balance of Diversity and Convergence in Multiobjective Optimization. 503-513 - Patrick Spettel, Hans-Georg Beyer, Michael Hellwig:
A Covariance Matrix Self-Adaptation Evolution Strategy for Optimization Under Linear Constraints. 514-524 - Wenjing Hong, Ke Tang, Aimin Zhou, Hisao Ishibuchi, Xin Yao:
A Scalable Indicator-Based Evolutionary Algorithm for Large-Scale Multiobjective Optimization. 525-537
Volume 23, Number 4, August 2019
- Jianyong Sun, Hu Zhang, Aimin Zhou, Qingfu Zhang, Ke Zhang, Zhenbiao Tu, Kai Ye:
Learning From a Stream of Nonstationary and Dependent Data in Multiobjective Evolutionary Optimization. 541-555 - Zhenkun Wang, Yew-Soon Ong, Jianyong Sun, Abhishek Gupta, Qingfu Zhang:
A Generator for Multiobjective Test Problems With Difficult-to-Approximate Pareto Front Boundaries. 556-571 - 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. 572-586 - Xiao Fang Liu, Zhi-Hui Zhan, Ying Gao, Jie Zhang, Sam Kwong, Jun Zhang:
Coevolutionary Particle Swarm Optimization With Bottleneck Objective Learning Strategy for Many-Objective Optimization. 587-602 - Daniele Gravina, Antonios Liapis, Georgios N. Yannakakis:
Quality Diversity Through Surprise. 603-616 - Xue Yu, Wei-Neng Chen, Tianlong Gu, Huaqiang Yuan, Huaxiang Zhang, Jun Zhang:
ACO-A*: Ant Colony Optimization Plus A* for 3-D Traveling in Environments With Dense Obstacles. 617-631 - Weibo Liu, Zidong Wang, Xiaohui Liu, Nianyin Zeng, David Bell:
A Novel Particle Swarm Optimization Approach for Patient Clustering From Emergency Departments. 632-644 - Wenjun Wang, Shaoqiang Yang, Qiuzhen Lin, Qingfu Zhang, Ka-Chun Wong, Carlos A. Coello Coello, Jianyong Chen:
An Effective Ensemble Framework for Multiobjective Optimization. 645-659 - Yiping Liu, Gary G. Yen, Dunwei Gong:
A Multimodal Multiobjective Evolutionary Algorithm Using Two-Archive and Recombination Strategies. 660-674 - Zhen Yang, Yaochu Jin, Kuangrong Hao:
A Bio-Inspired Self-Learning Coevolutionary Dynamic Multiobjective Optimization Algorithm for Internet of Things Services. 675-688 - Tim Blackwell, James Kennedy:
Impact of Communication Topology in Particle Swarm Optimization. 689-702 - Qi Chen, Mengjie Zhang, Bing Xue:
Structural Risk Minimization-Driven Genetic Programming for Enhancing Generalization in Symbolic Regression. 703-717 - 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. 718-731
Volume 23, Number 5, October 2019
- Hao Li, Yew-Soon Ong, Maoguo Gong, Zhenkun Wang:
Evolutionary Multitasking Sparse Reconstruction: Framework and Case Study. 733-747 - Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen:
A New Two-Stage Evolutionary Algorithm for Many-Objective Optimization. 748-761 - Ran Cheng, Mohammad Nabi Omidvar, Amir H. Gandomi, Bernhard Sendhoff, Stefan Menzel, Xin Yao:
Solving Incremental Optimization Problems via Cooperative Coevolution. 762-775 - Manuel Villalobos-Cid, Márcio Dorn, Rodrigo Ligabue-Braun, Mario Inostroza-Ponta:
A Memetic Algorithm Based on an NSGA-II Scheme for Phylogenetic Tree Inference. 776-787 - Jun Yi, Junren Bai, Haibo He, Jun Peng, Dedong Tang:
ar-MOEA: A Novel Preference-Based Dominance Relation for Evolutionary Multiobjective Optimization. 788-802 - Qinghua Huang, Xianhai Huang, Zhoufan Kong, Xuelong Li, Dacheng Tao:
Bi-Phase Evolutionary Searching for Biclusters in Gene Expression Data. 803-814 - Xinjing Wang, G. Gary Wang, Baowei Song, Peng Wang, Yang Wang:
A Novel Evolutionary Sampling Assisted Optimization Method for High-Dimensional Expensive Problems. 815-827 - Jiawei Su, Danilo Vasconcellos Vargas, Kouichi Sakurai:
One Pixel Attack for Fooling Deep Neural Networks. 828-841 - 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. 842-857 - Maoguo Gong, Zedong Tang, Hao Li, Jun Zhang:
Evolutionary Multitasking With Dynamic Resource Allocating Strategy. 858-869 - Zhi-Zhong Liu, Yong Wang:
Handling Constrained Multiobjective Optimization Problems With Constraints in Both the Decision and Objective Spaces. 870-884 - Mohammad Reza Bonyadi, David C. Reutens:
Optimal-Margin Evolutionary Classifier. 885-898 - Elijah Bolluyt, Cristina Comaniciu:
Dynamic Influence on Replicator Evolution for the Propagation of Competing Technologies. 899-903 - Hemant Kumar Singh, Kalyan Shankar Bhattacharjee, Tapabrata Ray:
Distance-Based Subset Selection for Benchmarking in Evolutionary Multi/Many-Objective Optimization. 904-912 - Jingda Deng, Qingfu Zhang:
Approximating Hypervolume and Hypervolume Contributions Using Polar Coordinate. 913-918
Volume 23, Number 6, December 2019
- Chaoyue Wang, Chang Xu, Xin Yao, Dacheng Tao:
Evolutionary Generative Adversarial Networks. 921-934 - Xin-yuan Zhang, Yue-Jiao Gong, Ying Lin, Jie Zhang, Sam Kwong, Jun Zhang:
Dynamic Cooperative Coevolution for Large Scale Optimization. 935-948 - Cheng He, Lianghao Li, Ye Tian, Xingyi Zhang, Ran Cheng, Yaochu Jin, Xin Yao:
Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation. 949-961 - Richard John Preen, Jim E. Smith:
Evolutionary n-Level Hypergraph Partitioning With Adaptive Coarsening. 962-971 - Zhongwei Ma, Yong Wang:
Evolutionary Constrained Multiobjective Optimization: Test Suite Construction and Performance Comparisons. 972-986 - Hui Li, Kalyanmoy Deb, Qingfu Zhang:
Variable-Length Pareto Optimization via Decomposition-Based Evolutionary Multiobjective Algorithm. 987-999 - 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. 1000-1014 - Yan Jin, Jin-Kao Hao:
Solving the Latin Square Completion Problem by Memetic Graph Coloring. 1015-1028 - Alexandros Agapitos, Róisín Loughran, Miguel Nicolau, Simon M. Lucas, Michael O'Neill, Anthony Brabazon:
A Survey of Statistical Machine Learning Elements in Genetic Programming. 1029-1048 - Yang Liu, Xi Wang, Jürgen Kurths:
Framework of Evolutionary Algorithm for Investigation of Influential Nodes in Complex Networks. 1049-1063
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