default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDIEEE Transactions on Evolutionary Computation, Volume 24
Volume 24, Number 1, February 2020
- Danial Yazdani
, Mohammad Nabi Omidvar, Jürgen Branke, Trung Thanh Nguyen, Xin Yao:
Scaling Up Dynamic Optimization Problems: A Divide-and-Conquer Approach. 1-15 - Xiaolong Zheng, A. Kai Qin, Maoguo Gong, Deyun Zhou:
Self-Regulated Evolutionary Multitask Optimization. 16-28 - Yong Wang, Jia-Peng Li, Xihui Xue, Bing-Chuan Wang:
Utilizing the Correlation Between Constraints and Objective Function for Constrained Evolutionary Optimization. 29-43 - Emmanuel Kieffer, Grégoire Danoy, Matthias R. Brust, Pascal Bouvry, Anass Nagih:
Tackling Large-Scale and Combinatorial Bi-Level Problems With a Genetic Programming Hyper-Heuristic. 44-56 - Mohammad Reza Bonyadi:
A Theoretical Guideline for Designing an Effective Adaptive Particle Swarm. 57-68 - Kavitesh Kumar Bali, Yew-Soon Ong, Abhishek Gupta, Puay Siew Tan:
Multifactorial Evolutionary Algorithm With Online Transfer Parameter Estimation: MFEA-II. 69-83 - Jaroslaw Arabas, Dariusz Jagodzinski:
Toward a Matrix-Free Covariance Matrix Adaptation Evolution Strategy. 84-98 - Yi Xiang, Yuren Zhou, Xiaowei Yang, Han Huang:
A Many-Objective Evolutionary Algorithm With Pareto-Adaptive Reference Points. 99-113 - Zi-Jia Wang, Zhi-Hui Zhan, Ying Lin, Wei-jie Yu, Hua Wang, Sam Kwong, Jun Zhang:
Automatic Niching Differential Evolution With Contour Prediction Approach for Multimodal Optimization Problems. 114-128 - Xueming Yan, Han Huang, Zhifeng Hao, Jiahai Wang:
A Graph-Based Fuzzy Evolutionary Algorithm for Solving Two-Echelon Vehicle Routing Problems. 129-141 - Dunwei Gong, Biao Xu, Yong Zhang, Yi-Nan Guo, Shengxiang Yang:
A Similarity-Based Cooperative Co-Evolutionary Algorithm for Dynamic Interval Multiobjective Optimization Problems. 142-156 - Bo Yuan, Huanhuan Chen, Xin Yao:
Toward Efficient Design Space Exploration for Fault-Tolerant Multiprocessor Systems. 157-169 - Bach Hoai Nguyen, Bing Xue, Peter Andreae, Hisao Ishibuchi, Mengjie Zhang:
Multiple Reference Points-Based Decomposition for Multiobjective Feature Selection in Classification: Static and Dynamic Mechanisms. 170-184 - Ke Shang, Hisao Ishibuchi, Xizi Ni:
R2-Based Hypervolume Contribution Approximation. 185-192 - Ryoji Tanabe, Hisao Ishibuchi:
A Review of Evolutionary Multimodal Multiobjective Optimization. 193-200
Volume 24, Number 2, April 2020
- Changwu Huang, Yuanxiang Li, Xin Yao:
A Survey of Automatic Parameter Tuning Methods for Metaheuristics. 201-216 - Yu-Jun Zheng, Yi-Chen Du, Hai-Feng Ling, Weiguo Sheng, Sheng-Yong Chen:
Evolutionary Collaborative Human-UAV Search for Escaped Criminals. 217-231 - Michal Bidlo, Michal Dobes:
Evolutionary Development of Growing Generic Sorting Networks by Means of Rewriting Systems. 232-244 - Yi Xiang, Xiaowei Yang, Yuren Zhou, Han Huang:
Enhancing Decomposition-Based Algorithms by Estimation of Distribution for Constrained Optimal Software Product Selection. 245-259 - Qingyang Zhang, Shengxiang Yang, Shouyong Jiang, Ronggui Wang, Xiaoli Li:
Novel Prediction Strategies for Dynamic Multiobjective Optimization. 260-274 - Han Huang, Junpeng Su, Yushan Zhang, Zhifeng Hao:
An Experimental Method to Estimate Running Time of Evolutionary Algorithms for Continuous Optimization. 275-289 - Miao Rong, Dunwei Gong, Witold Pedrycz, Ling Wang:
A Multimodel Prediction Method for Dynamic Multiobjective Evolutionary Optimization. 290-304 - Leilei Cao, Lihong Xu, Erik D. Goodman, Chunteng Bao, Shuwei Zhu:
Evolutionary Dynamic Multiobjective Optimization Assisted by a Support Vector Regression Predictor. 305-319 - Michal K. Tomczyk, Milosz Kadzinski:
Decomposition-Based Interactive Evolutionary Algorithm for Multiple Objective Optimization. 320-334 - Yu-Hui Zhang, Yue-Jiao Gong, Ying Gao, Hua Wang, Jun Zhang:
Parameter-Free Voronoi Neighborhood for Evolutionary Multimodal Optimization. 335-349 - Yanan Sun, Handing Wang, Bing Xue, Yaochu Jin, Gary G. Yen, Mengjie Zhang:
Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor. 350-364 - Xiwen Cai, Liang Gao, Xinyu Li:
Efficient Generalized Surrogate-Assisted Evolutionary Algorithm for High-Dimensional Expensive Problems. 365-379 - Ye Tian, Xingyi Zhang, Chao Wang, Yaochu Jin:
An Evolutionary Algorithm for Large-Scale Sparse Multiobjective Optimization Problems. 380-393 - Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen:
Evolving Deep Convolutional Neural Networks for Image Classification. 394-407
Volume 24, Number 3, June 2020
- Cuie Yang, Jinliang Ding, Yaochu Jin, Tianyou Chai:
Offline Data-Driven Multiobjective Optimization: Knowledge Transfer Between Surrogates and Generation of Final Solutions. 409-423 - Jun Zhang, Weien Zhou, Xianqi Chen, Wen Yao, Lu Cao:
Multisource Selective Transfer Framework in Multiobjective Optimization Problems. 424-438 - Yiping Liu, Hisao Ishibuchi, Naoki Masuyama, Yusuke Nojima:
Adapting Reference Vectors and Scalarizing Functions by Growing Neural Gas to Handle Irregular Pareto Fronts. 439-453 - Kaustuv Nag, Nikhil R. Pal:
Feature Extraction and Selection for Parsimonious Classifiers With Multiobjective Genetic Programming. 454-466 - Marco Aurélio Lopes Barbosa, Alexandre C. B. Delbem, Letícia Rodrigues Bueno:
Data Structures for Direct Spanning Tree Representations in Mutation-Based Evolutionary Algorithms. 467-478 - Feng Wang, Yixuan Li, Aimin Zhou, Ke Tang:
An Estimation of Distribution Algorithm for Mixed-Variable Newsvendor Problems. 479-493 - Zhenan He, Gary G. Yen, Jiancheng Lv:
Evolutionary Multiobjective Optimization With Robustness Enhancement. 494-507 - Ting Huang, Yue-Jiao Gong, Sam Kwong, Hua Wang, Jun Zhang:
A Niching Memetic Algorithm for Multi-Solution Traveling Salesman Problem. 508-522 - Mingming Li, Jing Liu, Peng Wu, Xiangyi Teng:
Evolutionary Network Embedding Preserving Both Local Proximity and Community Structure. 523-535 - Xiaogen Zhou, Chunxiang Peng, Jun Liu, Yang Zhang, Gui-Jun Zhang:
Underestimation-Assisted Global-Local Cooperative Differential Evolution and the Application to Protein Structure Prediction. 536-550 - Yiping Liu, Hisao Ishibuchi, Gary G. Yen, Yusuke Nojima, Naoki Masuyama:
Handling Imbalance Between Convergence and Diversity in the Decision Space in Evolutionary Multimodal Multiobjective Optimization. 551-565 - An Song, Wei-Neng Chen, Yue-Jiao Gong, Xiaonan Luo, Jun Zhang:
A Divide-and-Conquer Evolutionary Algorithm for Large-Scale Virtual Network Embedding. 566-580 - Edgar Covantes Osuna, Dirk Sudholt:
Runtime Analysis of Crowding Mechanisms for Multimodal Optimization. 581-592 - Patrick Spettel, Hans-Georg Beyer:
Analysis of the $(\mu/\mu_{I}, \lambda)-\sigma$ -Self-Adaptation Evolution Strategy With Repair by Projection Applied to a Conically Constrained Problem. 593-602 - Hemant Kumar Singh:
Understanding Hypervolume Behavior Theoretically for Benchmarking in Evolutionary Multi/Many-Objective Optimization. 603-610
Volume 24, Number 4, August 2020
- David Guirguis, Nikola Aulig, Renato Picelli, Bo Zhu, Yuqing Zhou, William Vicente, Francesco Iorio, Markus Olhofer, Wojciech Matusik, Carlos Artemio Coello Coello, Kazuhiro Saitou:
Evolutionary Black-Box Topology Optimization: Challenges and Promises. 613-633 - Xiaoliang Ma, Yanan Yu, Xiaodong Li, Yutao Qi, Zexuan Zhu:
A Survey of Weight Vector Adjustment Methods for Decomposition-Based Multiobjective Evolutionary Algorithms. 634-649 - Brendan Case, Per Kristian Lehre:
Self-Adaptation in Nonelitist Evolutionary Algorithms on Discrete Problems With Unknown Structure. 650-663 - Ajitha Shenoy K. B, Somenath Biswas, Piyush P. Kurur:
Efficacy of the Metropolis Algorithm for the Minimum-Weight Codeword Problem Using Codeword and Generator Search Spaces. 664-678 - Yonghao Du, Tao Wang, Bin Xin, Ling Wang, Yingguo Chen, Lining Xing:
A Data-Driven Parallel Scheduling Approach for Multiple Agile Earth Observation Satellites. 679-693 - Chao Qian:
Distributed Pareto Optimization for Large-Scale Noisy Subset Selection. 694-707 - Zong-Gan Chen, Zhi-Hui Zhan, Hua Wang, Jun Zhang:
Distributed Individuals for Multiple Peaks: A Novel Differential Evolution for Multimodal Optimization Problems. 708-719 - Ryoji Tanabe, Hisao Ishibuchi:
A Framework to Handle Multimodal Multiobjective Optimization in Decomposition-Based Evolutionary Algorithms. 720-734 - Shuai Wang, Jing Liu, Yaochu Jin:
Surrogate-Assisted Robust Optimization of Large-Scale Networks Based on Graph Embedding. 735-749 - Yi-Nan Guo, Xu Zhang, Dun-Wei Gong, Zhen Zhang, Jian-Jian Yang:
Novel Interactive Preference-Based Multiobjective Evolutionary Optimization for Bolt Supporting Networks. 750-764 - Weiqi Chen, Zexuan Zhu, Shan He:
MUMI: Multitask Module Identification for Biological Networks. 765-776 - Qunfeng Liu, William V. Gehrlein, Ling Wang, Yuan Yan, Yingying Cao, Wei Chen, Yun Li:
Paradoxes in Numerical Comparison of Optimization Algorithms. 777-791 - Qing-da Chen, Jinliang Ding, Shengxiang Yang, Tianyou Chai:
A Novel Evolutionary Algorithm for Dynamic Constrained Multiobjective Optimization Problems. 792-806 - Ke Shang, Hisao Ishibuchi, Xizi Ni:
Erratum to "R2-Based Hypervolume Contribution Approximation". 807
Volume 24, Number 5, October 2020
- Maha Elarbi, Slim Bechikh, Carlos A. Coello Coello, Mohamed Makhlouf, Lamjed Ben Said:
Approximating Complex Pareto Fronts With Predefined Normal-Boundary Intersection Directions. 809-823 - Jiabin Lin, Hai-Lin Liu, Bing Xue, Mengjie Zhang, Fangqing Gu:
Multiobjective Multitasking Optimization Based on Incremental Learning. 824-838 - Ke Shang, Hisao Ishibuchi:
A New Hypervolume-Based Evolutionary Algorithm for Many-Objective Optimization. 839-852 - Ryoji Tanabe, Hisao Ishibuchi:
An Analysis of Quality Indicators Using Approximated Optimal Distributions in a 3-D Objective Space. 853-867 - Cheng He, Ran Cheng, Chuanji Zhang, Ye Tian, Qin Chen, Xin Yao:
Evolutionary Large-Scale Multiobjective Optimization for Ratio Error Estimation of Voltage Transformers. 868-881 - Xianfang Song, Yong Zhang, Yi-Nan Guo, Xiaoyan Sun, Yong-Li Wang:
Variable-Size Cooperative Coevolutionary Particle Swarm Optimization for Feature Selection on High-Dimensional Data. 882-895 - Jingda Deng, Qingfu Zhang:
Combining Simple and Adaptive Monte Carlo Methods for Approximating Hypervolume. 896-907 - Jun Yi, Junren Bai, Haibo He, Wei Zhou, Lizhong Yao:
A Multifactorial Evolutionary Algorithm for Multitasking Under Interval Uncertainties. 908-922 - Jian-Yu Li, Zhi-Hui Zhan, Chuan Wang, Hu Jin, Jun Zhang:
Boosting Data-Driven Evolutionary Algorithm With Localized Data Generation. 923-937 - Qingling Zhu, Qingfu Zhang, Qiuzhen Lin:
A Constrained Multiobjective Evolutionary Algorithm With Detect-and-Escape Strategy. 938-947 - Haibin Duan, Mengzhen Huo, Yuhui Shi:
Limit-Cycle-Based Mutant Multiobjective Pigeon-Inspired Optimization. 948-959 - Luca Manzoni, Alberto Bartoli, Mauro Castelli, Ivo Gonçalves, Eric Medvet:
Specializing Context-Free Grammars With a (1 + 1)-EA. 960-973 - Kai Zhang, Chaonan Shen, Xiaoming Liu, Gary G. Yen:
Multiobjective Evolution Strategy for Dynamic Multiobjective Optimization. 974-988
Volume 24, Number 6, December 2020
- Pietro S. Oliveto, Anne Auger, Francisco Chicano, Carlos M. Fonseca:
Guest Editorial Special Issue on Theoretical Foundations of Evolutionary Computation. 993-994 - Johannes Lengler:
A General Dichotomy of Evolutionary Algorithms on Monotone Functions. 995-1009 - Per Kristian Lehre, Dirk Sudholt:
Parallel Black-Box Complexity With Tail Bounds. 1010-1024 - Benjamin Doerr, Martin S. Krejca:
Significance-Based Estimation-of-Distribution Algorithms. 1025-1034 - Kento Uchida, Shinichi Shirakawa, Youhei Akimoto:
Finite-Sample Analysis of Information Geometric Optimization With Isotropic Gaussian Distribution on Convex Quadratic Functions. 1035-1049 - Jaroslaw Arabas, Karol R. Opara:
Population Diversity of Nonelitist Evolutionary Algorithms in the Exploration Phase. 1050-1062 - Arnaud Liefooghe, Fabio Daolio, Sébastien Vérel, Bilel Derbel, Hernán E. Aguirre, Kiyoshi Tanaka:
Landscape-Aware Performance Prediction for Evolutionary Multiobjective Optimization. 1063-1077 - Ke Li, Minhui Liao, Kalyanmoy Deb, Geyong Min, Xin Yao:
Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multiobjective Optimization Using Reference Points. 1078-1096 - Michal Witold Przewozniczek, Marcin Michal Komarnicki:
Empirical Linkage Learning. 1097-1111 - Haiyan Liu, Yuping Wang, Ninglei Fan:
A Hybrid Deep Grouping Algorithm for Large Scale Global Optimization. 1112-1124 - Hao Hao, Jinyuan Zhang, Xiaofen Lu, Aimin Zhou:
Binary Relation Learning and Classifying for Preselection in Evolutionary Algorithms. 1125-1139 - Benjamin Doerr, Weijie Zheng:
Sharp Bounds for Genetic Drift in Estimation of Distribution Algorithms. 1140-1149 - Pei-Qiu Huang, Yong Wang:
A Framework for Scalable Bilevel Optimization: Identifying and Utilizing the Interactions Between Upper-Level and Lower-Level Variables. 1150-1163 - Caitlin A. Owen, Grant Dick, Peter A. Whigham:
Characterizing Genetic Programming Error Through Extended Bias and Variance Decomposition. 1164-1176
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 2025-02-20 19:45 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:
