An improved non-dominated sorting genetic algorithm for multi-objective optimization based on crowding distance

被引：0
|
作者：
机构：
[1] Key Laboratory of Power Station Automation Technology, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai
来源：
Xia, Tian-Liang (xiatianliang123@126.com) | 1600年 / Springer Verlag卷 / 462期
关键词：
Crowding distance; Elite preservation; Genetic algorithm; Multi-objective optimization;
D O I：
10.1007/978-3-662-45261-5_8
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
An improved non-dominated sorting genetic algorithm (INSGA) is introduced for multi-objective optimization. In order to keep the diversity of the population, a modified elite preservation strategy is adopted and the evaluation of solutions’ crowding degree is integrated in crossover operations during the evolution. The INSGA is compared with the NSGA-II and other algorithms by applications to five classical test functions and an environmental/economic dispatch (EED) problem in power systems. It is shown that the Pareto solution obtained by INSGA has a good convergence and diversity. © Springer-Verlag Berlin Heidelberg 2014.
引用
收藏
页码：66 / 76
页数：10
相关论文
共 50 条
  • [1] An Improved Non-dominated Sorting Genetic Algorithm for Multi-objective Optimization Based on Crowding Distance
    Xia, Tian-liang
    Zhang, Shao-hua
    COMPUTATIONAL INTELLIGENCE, NETWORKED SYSTEMS AND THEIR APPLICATIONS, 2014, 462 : 66 - 76
  • [2] Non-dominated Sorting Based Fireworks Algorithm for Multi-objective Optimization
    Li, Mingze
    Tan, Ying
    ADVANCES IN SWARM INTELLIGENCE, ICSI 2022, PT I, 2022, : 457 - 471
  • [3] Non-Dominated Sorting Social Group Optimization Algorithm for Multi-Objective Optimization
    Naik, Anima
    Jena, Junali Jasmine
    Satapathy, Suresh Chandra
    JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH, 2021, 80 (02): : 129 - 136
  • [4] Study on Multi-Objective Optimization Method for Radiation Shielding Based on Non-Dominated Sorting Genetic Algorithm
    Cao Q.
    Zhang Z.
    Chen Z.
    Ma H.
    Yu T.
    Hedongli Gongcheng/Nuclear Power Engineering, 2020, 41 (01): : 167 - 171
  • [5] A non-dominated sorting hybrid algorithm for multi-objective optimization of engineering problems
    Ghiasi, Hossein
    Pasini, Damiano
    Lessard, Larry
    ENGINEERING OPTIMIZATION, 2011, 43 (01) : 39 - 59
  • [6] Multi-objective Trajectory Planning Method based on the Improved Elitist Non-dominated Sorting Genetic Algorithm
    Zesheng Wang
    Yanbiao Li
    Kun Shuai
    Wentao Zhu
    Bo Chen
    Ke Chen
    Chinese Journal of Mechanical Engineering, 2022, 35
  • [7] Multi-objective Trajectory Planning Method based on the Improved Elitist Non-dominated Sorting Genetic Algorithm
    Wang, Zesheng
    Li, Yanbiao
    Shuai, Kun
    Zhu, Wentao
    Chen, Bo
    Chen, Ke
    CHINESE JOURNAL OF MECHANICAL ENGINEERING, 2022, 35 (01)
  • [8] Multi-objective optimization of oil well drilling using elitist non-dominated sorting genetic algorithm
    Chandan Guria
    Kiran K Goli
    Akhilendra K Pathak
    Petroleum Science, 2014, (01) : 97 - 110
  • [9] Multi-objective optimization of oil well drilling using elitist non-dominated sorting genetic algorithm
    Guria, Chandan
    Goli, Kiran K.
    Pathak, Akhilendra K.
    PETROLEUM SCIENCE, 2014, 11 (01) : 97 - 110
  • [10] Multi-Objective Optimization of Functionally Graded Beams Using a Genetic Algorithm with Non-Dominated Sorting
    Wu, Chih-Ping
    Li, Kuan-Wei
    JOURNAL OF COMPOSITES SCIENCE, 2021, 5 (04):
12345