default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDIEEE Transactions on Evolutionary Computation, Volume 22
Volume 22, Number 1, February 2018
- Yaochu Jin
, Kaisa Miettinen, Hisao Ishibuchi:
Guest Editorial Evolutionary Many-Objective Optimization. 1-2 - Rui Wang, Zhongbao Zhou, Hisao Ishibuchi, Tianjun Liao, Tao Zhang:
Localized Weighted Sum Method for Many-Objective Optimization. 3-18 - Thiago Santos, Ricardo H. C. Takahashi:
On the Performance Degradation of Dominance-Based Evolutionary Algorithms in Many-Objective Optimization. 19-31 - Qiuzhen Lin, Songbai Liu, Qingling Zhu, Chaoyu Tang, Ruizhen Song, Jianyong Chen, Carlos A. Coello Coello, Ka-Chun Wong, Jun Zhang:
Particle Swarm Optimization With a Balanceable Fitness Estimation for Many-Objective Optimization Problems. 32-46 - Dunwei Gong, Jing Sun, Zhuang Miao:
A Set-Based Genetic Algorithm for Interval Many-Objective Optimization Problems. 47-60 - Miqing Li, Crina Grosan, Shengxiang Yang, Xiaohui Liu, Xin Yao:
Multiline Distance Minimization: A Visualized Many-Objective Test Problem Suite. 61-78 - Justin Maltese, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht:
A Scalability Study of Many-Objective Optimization Algorithms. 79-96 - Xingyi Zhang, Ye Tian, Ran Cheng, Yaochu Jin:
A Decision Variable Clustering-Based Evolutionary Algorithm for Large-Scale Many-Objective Optimization. 97-112 - Xiao Fang Liu, Zhi-Hui Zhan, Jeremiah D. Deng, Yun Li, Tianlong Gu, Jun Zhang:
An Energy Efficient Ant Colony System for Virtual Machine Placement in Cloud Computing. 113-128 - Tinkle Chugh, Yaochu Jin, Kaisa Miettinen, Jussi Hakanen, Karthik Sindhya:
A Surrogate-Assisted Reference Vector Guided Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization. 129-142 - Peng Yang, Ke Tang, Xin Yao:
Turning High-Dimensional Optimization Into Computationally Expensive Optimization. 143-156 - Renzhi Chen, Ke Li, Xin Yao:
Dynamic Multiobjectives Optimization With a Changing Number of Objectives. 157-171
Volume 22, Number 2, April 2018
- Xiaofen Lu, Stefan Menzel, Ke Tang, Xin Yao:
Cooperative Co-Evolution-Based Design Optimization: A Concurrent Engineering Perspective. 173-188 - Yuan Yuan, Yew-Soon Ong, Abhishek Gupta, Hua Xu:
Objective Reduction in Many-Objective Optimization: Evolutionary Multiobjective Approaches and Comprehensive Analysis. 189-210 - Fangqing Gu, Yiu-Ming Cheung:
Self-Organizing Map-Based Weight Design for Decomposition-Based Many-Objective Evolutionary Algorithm. 211-225 - Xiaoliang Ma, Qingfu Zhang, Guangdong Tian, Junshan Yang, Zexuan Zhu:
On Tchebycheff Decomposition Approaches for Multiobjective Evolutionary Optimization. 226-244 - Antoine Cully, Yiannis Demiris:
Quality and Diversity Optimization: A Unifying Modular Framework. 245-259 - Heiner Zille, Hisao Ishibuchi, Sanaz Mostaghim, Yusuke Nojima:
A Framework for Large-Scale Multiobjective Optimization Based on Problem Transformation. 260-275 - Ankur Sinha, Pekka Malo, Kalyanmoy Deb:
A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications. 276-295 - Shouyong Jiang, Shengxiang Yang, Yong Wang, Xiaobin Liu:
Scalarizing Functions in Decomposition-Based Multiobjective Evolutionary Algorithms. 296-313 - Miguel Duarte, Jorge C. Gomes, Sancho Moura Oliveira, Anders Lyhne Christensen:
Evolution of Repertoire-Based Control for Robots With Complex Locomotor Systems. 314-328
Volume 22, Number 3, June 2018
- Federica Sarro, Marouane Kessentini, Kalyanmoy Deb:
Guest Editorial Special Issue on Search-Based Software Engineering. 333 - Yuexing Wang, Min Zhou, Xiaoyu Song, Ming Gu, Jiaguang Sun:
Constructing Cost-Aware Functional Test-Suites Using Nested Differential Evolution Algorithm. 334-346 - Roberto Pietrantuono, Pasqualina Potena, Antonio Pecchia, Daniel Rodríguez, Stefano Russo, Luis Fernández Sanz:
Multiobjective Testing Resource Allocation Under Uncertainty. 347-362 - Jaime Font, Lorena Arcega, Øystein Haugen, Carlos Cetina:
Achieving Feature Location in Families of Models Through the Use of Search-Based Software Engineering. 363-377 - Shuai Wang, Shaukat Ali, Tao Yue, Marius Liaaen:
Integrating Weight Assignment Strategies With NSGA-II for Supporting User Preference Multiobjective Optimization. 378-393 - Matheus Paixão, Mark Harman, Yuanyuan Zhang, Yijun Yu:
An Empirical Study of Cohesion and Coupling: Balancing Optimization and Disruption. 394-414 - Justyna Petke, Saemundur O. Haraldsson, Mark Harman, William B. Langdon, David Robert White, John R. Woodward:
Genetic Improvement of Software: A Comprehensive Survey. 415-432 - Hai-Lin Liu, Lei Chen, Qingfu Zhang, Kalyanmoy Deb:
Adaptively Allocating Search Effort in Challenging Many-Objective Optimization Problems. 433-448 - Andreia P. Guerreiro, Carlos M. Fonseca:
Computing and Updating Hypervolume Contributions in Up to Four Dimensions. 449-463 - Clara Pizzuti:
Evolutionary Computation for Community Detection in Networks: A Review. 464-483 - Duc-Cuong Dang, Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Per Kristian Lehre, Pietro S. Oliveto, Dirk Sudholt, Andrew M. Sutton:
Escaping Local Optima Using Crossover With Emergent Diversity. 484-497
Volume 22, Number 4, August 2018
- Min Jiang, Zhongqiang Huang, Liming Qiu, Wenzhen Huang, Gary G. Yen:
Transfer Learning-Based Dynamic Multiobjective Optimization Algorithms. 501-514 - Mario Garza-Fabre, Julia Handl, Joshua D. Knowles:
An Improved and More Scalable Evolutionary Approach to Multiobjective Clustering. 515-535 - Forhad Zaman, Saber M. Elsayed, Tapabrata Ray, Ruhul A. Sarker:
Evolutionary Algorithms for Finding Nash Equilibria in Electricity Markets. 536-549 - Mang Wang, Bin Li, Guofu Zhang, Xin Yao:
Population Evolvability: Dynamic Fitness Landscape Analysis for Population-Based Metaheuristic Algorithms. 550-563 - Xinye Cai, Zhiwei Mei, Zhun Fan, Qingfu Zhang:
A Constrained Decomposition Approach With Grids for Evolutionary Multiobjective Optimization. 564-577 - Qiang Yang, Wei-Neng Chen, Jeremiah Da Deng, Yun Li, Tianlong Gu, Jun Zhang:
A Level-Based Learning Swarm Optimizer for Large-Scale Optimization. 578-594 - Chao Qian, Jing-Cheng Shi, Ke Tang, Zhi-Hua Zhou:
Constrained Monotone k-Submodular Function Maximization Using Multiobjective Evolutionary Algorithms With Theoretical Guarantee. 595-608 - Ye Tian, Ran Cheng, Xingyi Zhang, Fan Cheng, Yaochu Jin:
An Indicator-Based Multiobjective Evolutionary Algorithm With Reference Point Adaptation for Better Versatility. 609-622 - Vassilis Vassiliades, Konstantinos I. Chatzilygeroudis, Jean-Baptiste Mouret:
Using Centroidal Voronoi Tessellations to Scale Up the Multidimensional Archive of Phenotypic Elites Algorithm. 623-630
Volume 22, Number 5, October 2018
- Zhenhua Li, Qingfu Zhang:
A Simple Yet Efficient Evolution Strategy for Large-Scale Black-Box Optimization. 637-646 - Yuan Sun, Michael Kirley, Saman K. Halgamuge:
A Recursive Decomposition Method for Large Scale Continuous Optimization. 647-661 - Yanan Sun, Gary G. Yen, Zhang Yi:
Improved Regularity Model-Based EDA for Many-Objective Optimization. 662-678 - Junzhi Li, Ying Tan:
Loser-Out Tournament-Based Fireworks Algorithm for Multimodal Function Optimization. 679-691 - Ran Cheng, Miqing Li, Ke Li, Xin Yao:
Evolutionary Multiobjective Optimization-Based Multimodal Optimization: Fitness Landscape Approximation and Peak Detection. 692-706 - Dogan Corus, Duc-Cuong Dang, Anton V. Eremeev, Per Kristian Lehre:
Level-Based Analysis of Genetic Algorithms and Other Search Processes. 707-719 - Dogan Corus, Pietro S. Oliveto:
Standard Steady State Genetic Algorithms Can Hillclimb Faster Than Mutation-Only Evolutionary Algorithms. 720-732 - Quang Nhat Huynh, Shelvin Chand, Hemant Kumar Singh, Tapabrata Ray:
Genetic Programming With Mixed-Integer Linear Programming-Based Library Search. 733-747 - Renato Tinós, Liang Zhao, Francisco Chicano, L. Darrell Whitley:
NK Hybrid Genetic Algorithm for Clustering. 748-761 - Md. Asafuddoula, Brijesh K. Verma, Mengjie Zhang:
A Divide-and-Conquer-Based Ensemble Classifier Learning by Means of Many-Objective Optimization. 762-777 - Andrzej Jaszkiewicz, Thibaut Lust:
ND-Tree-Based Update: A Fast Algorithm for the Dynamic Nondominance Problem. 778-791 - Zhengwen Huang, Maozhen Li, Christos Chousidis, Alireza Mousavi, Changjun Jiang:
Schema Theory-Based Data Engineering in Gene Expression Programming for Big Data Analytics. 792-804 - Caitong Yue, Boyang Qu, Jane-Jing Liang:
A Multiobjective Particle Swarm Optimizer Using Ring Topology for Solving Multimodal Multiobjective Problems. 805-817
Volume 22, Number 6, December 2018
- Ke Li, Kalyanmoy Deb, Xin Yao:
R-Metric: Evaluating the Performance of Preference-Based Evolutionary Multiobjective Optimization Using Reference Points. 821-835 - Handing Wang, Yaochu Jin, John Doherty:
A Generic Test Suite for Evolutionary Multifidelity Optimization. 836-850 - Luis Miguel Antonio, Carlos A. Coello Coello:
Coevolutionary Multiobjective Evolutionary Algorithms: Survey of the State-of-the-Art. 851-865 - Manuel Chica, Raymond Chiong, Michael Kirley, Hisao Ishibuchi:
A Networked N-Player Trust Game and Its Evolutionary Dynamics. 866-878 - Sergio Santander-Jiménez, Miguel A. Vega-Rodríguez, Leonel Sousa:
Multiobjective Frog-Leaping Optimization for the Study of Ancestral Relationships in Protein Data. 879-893 - Zi-Jia Wang, Zhi-Hui Zhan, Ying Lin, Wei-Jie Yu, Huaqiang Yuan, Tianlong Gu, Sam Kwong, Jun Zhang:
Dual-Strategy Differential Evolution With Affinity Propagation Clustering for Multimodal Optimization Problems. 894-908 - Ali Ahrari, Kalyanmoy Deb:
A Novel Class of Test Problems for Performance Evaluation of Niching Methods. 909-919 - Kalyanmoy Deb, Ling Zhu, Sandeep S. Kulkarni:
Handling Multiple Scenarios in Evolutionary Multiobjective Numerical Optimization. 920-933 - Jorge C. Gomes, Pedro Mariano, Anders Lyhne Christensen:
Dynamic Team Heterogeneity in Cooperative Coevolutionary Algorithms. 934-948 - Jian Gong, Mengfei Yang:
Evolutionary Fault Tolerance Method Based on Virtual Reconfigurable Circuit With Neural Network Architecture. 949-960 - Hisao Ishibuchi, Ryo Imada, Yu Setoguchi, Yusuke Nojima:
Reference Point Specification in Inverted Generational Distance for Triangular Linear Pareto Front. 961-975
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.
last updated on 2025-12-04 22:09 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
