A hybrid of differential evolution and genetic algorithm for constrained multiobjective optimization problems

被引：0

作者：

Zhang, Min ^{[1
]}

Geng, Huantong ^{[1
]}

Luo, Wenjian ^{[1
]}

Huang, Linfeng ^{[1
]}

Wang, Xufa ^{[1
]}

机构：

[1] Univ Sci & Technol China, Dept Comp Sci & Technol, Nat Inspired Computat & Applicat Lab, Hefei 230027, Anhui, Peoples R China

来源：

SIMULATED EVOLUTION AND LEARNING, PROCEEDINGS | 2006年 / 4247卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Two novel schemes of selecting the current best solutions for multiobjective differential evolution are proposed in this paper. Based on the search biases strategy suggested by Runarsson and Yao, a hybrid of multiobjective differential evolution and genetic algorithm with (N+N) framework for constrained MOPs is given. And then the hybrid algorithm adopting the two schemes respectively is compared with the constrained NSGA-II on 4 benchmark functions constructed by Deb. The experimental results show that the hybrid algorithm has better performance, especially in the distribution of non-dominated set.

引用

页码：318 / 327

页数：10

共 50 条

[21] An Improved Differential Evolution Algorithm for Solving Constrained Optimization Problems
You, Xue-mei
Liu, Zhi-yuan
INTERNATIONAL CONFERENCE ON COMPUTER, NETWORK SECURITY AND COMMUNICATION ENGINEERING (CNSCE 2014), 2014, : 14 - 20
[22] A hybrid genetic algorithm for constrained optimization problems in mechanical engineering
Bernardino, H. S.
Barbosa, H. J. C.
Lemonge, A. C. C.
2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGS, 2007, : 646 - +
[23] A hybrid optimization algorithm based on cuckoo search and differential evolution for solving constrained engineering problems
Zhang, Zichen
Ding, Shifei
Jia, Weikuan
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2019, 85 : 254 - 268
[24] Immune optimization algorithm for constrained nonlinear multiobjective optimization problems
Zhang, Zhuhong
APPLIED SOFT COMPUTING, 2007, 7 (03) : 840 - 857
[25] Cooperative Differential Evolution Framework for Constrained Multiobjective Optimization
Wang, Jiahai
Liang, Guanxi
Zhang, Jun
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 49 (06) : 2060 - 2072
[26] Parallel cooperative multiobjective coevolutionary algorithm for constrained multiobjective optimization problems
Harada, Tomohiro
APPLIED SOFT COMPUTING, 2024, 153
[27] Differential evolution for solving multiobjective optimization problems
Sarker, R
Abbass, HA
ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH, 2004, 21 (02) : 225 - 240
[28] Constrained differential evolution with multiobjective sorting mutation operators for constrained optimization
Wei, Wenhong
Wang, Jiahai
Tao, Ming
APPLIED SOFT COMPUTING, 2015, 33 : 207 - 222
[29] Hybrid differential evolution with a simplified quadratic approximation for constrained optimization problems
Li, Hong
Jiao, Yong-Chang
Zhang, Li
ENGINEERING OPTIMIZATION, 2011, 43 (02) : 115 - 134
[30] A Hybrid Genetic - Differential Evolution Algorithm (HybGADE) for a Constrained Sequencing Problem
Abidin, Didem
2018 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND DATA PROCESSING (IDAP), 2018,

← 1 2 3 4 5 →