IEEE Transactions on Evolutionary Computation, Volume 23 (original) (raw)

default search action

• combined dblp search
• author search
• venue search
• publication search

Authors:

• no matches
• 

Venues:

• no matches
• 

Publications:

• no matches
• 

• > Home > Journals > IEEE Transactions on Evolutionary Computation

SPARQL queries

Refine list

refinements active!

zoomed in on ?? of ?? records

view refined list in

export refined list as

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: IrmSDEI_{\rm SDE}IrmSDE + - 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
• 
  • 
  • 
  • 
  • 
    Xinyuan 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

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.

Unpaywalled article links

Add open access links from to the list of external document links (if available).

load links from unpaywall.org

Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.

Archived links via Wayback Machine

For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).

load content from archive.org

Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.

Reference lists

Add a list of references from , , and to record detail pages.

load references from crossref.org and opencitations.net

Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.

Citation data

Add a list of citing articles from and to record detail pages.

load citations from opencitations.net

Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.

OpenAlex data

Load additional information about publications from .

load data from openalex.org

Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.

dblp was originally created in 1993 at:

since 2018, dblp has been operated and maintained by: