Multiobjective Optimization at Evolutionary Search with Binary Choice Relations

被引:2
|
作者
Irodov, V. F. [1 ]
Barsuk, R., V [1 ]
Chornomorets, H. Ya [1 ]
机构
[1] Prydniprovska State Acad Civil Engn & Architectur, Dnipro, Ukraine
关键词
evolutionary search; multiobjective optimization; binary choice relations;
D O I
10.1007/s10559-020-00260-7
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
A multiobjective optimization problem is considered, in which binary choice relations are used instead of optimized functions. To solve this problem, it is proposed to use an evolutionary random search algorithm, in which the function of choice in the form of a lock is used instead of the choice function in the form of a preference,. The convergence of the proposed evolutionary algorithms is analyzed, and sufficient conditions for convergence are formulated. The results of the proposed evolutionary search are compared with the results of well-known evolutionary algorithms for one test problem.
引用
收藏
页码:449 / 454
页数:6
相关论文
共 50 条
  • [21] Multiobjective Evolutionary Data Mining for Performance Improvement of Evolutionary Multiobjective Optimization
    Nojima, Yusuke
    Tanigaki, Yuki
    Masuyama, Naoki
    Ishibuchi, Hisao
    2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2018, : 745 - 750
  • [22] Evolutionary multiobjective optimization on a chip
    Bonissone, Stefano
    Subbu, Raj
    2007 IEEE WORKSHOP ON EVOLVABLE AND ADAPTIVE HARDWARE, 2007, : 61 - +
  • [23] Large Language Model-Aided Evolutionary Search for Constrained Multiobjective Optimization
    Wang, Zeyi
    Liu, Songbai
    Chen, Jianyong
    Tan, Kay Chen
    ADVANCED INTELLIGENT COMPUTING TECHNOLOGY AND APPLICATIONS, PT II, ICIC 2024, 2024, 14863 : 218 - 230
  • [24] Evolutionary Multiobjective Optimization and Uncertainty
    Branke, Juergen
    EVOLUTIONARY MULTI-CRITERION OPTIMIZATION, EMO 2013, 2013, 7811 : 2 - 2
  • [25] Tutorial on Evolutionary Multiobjective Optimization
    Brockhoff, Dimo
    PROCEEDINGS OF THE 2019 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION (GECCCO'19 COMPANION), 2019, : 461 - 484
  • [26] Introduction to Evolutionary Multiobjective Optimization
    Deb, Kalyanmoy
    MULTIOBJECTIVE OPTIMIZATION: INTERACTIVE AND EVOLUTIONARY APPROACHES, 2008, 5252 : 59 - 96
  • [27] Evolutionary Multiobjective Optimization of Winglets
    Teixeira, Mateus A. M.
    Goulart, Fillipe
    Campelo, Felipe
    GECCO'16: PROCEEDINGS OF THE 2016 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, 2016, : 1021 - 1028
  • [28] Comparison of local search implementation schemes in hybrid evolutionary multiobjective optimization algorithms
    Ishibuchi, H
    Narukawa, K
    HIS'04: FOURTH INTERNATIONAL CONFERENCE ON HYBRID INTELLIGENT SYSTEMS, PROCEEDINGS, 2005, : 404 - 409
  • [29] A regularity augmented evolutionary algorithm with dual-space search for multiobjective optimization
    Wang, Shuai
    Li, Bingdong
    Zhou, Aimin
    SWARM AND EVOLUTIONARY COMPUTATION, 2023, 78
  • [30] Evolutionary Dynamic Multiobjective Optimization via Learning From Historical Search Process
    Zhao, Qi
    Yan, Bai
    Shi, Yuhui
    Middendorf, Martin
    IEEE TRANSACTIONS ON CYBERNETICS, 2022, 52 (07) : 6119 - 6130