Damping Search Algorithm for Multi-objective Optimization Problems

被引：0
|
作者：
Ji, Jia [1 ]
Peng, Jinhua [1 ]
Zhao, Xinchao [2 ]
机构：
[1] Beijing Univ Posts & Telecommun, Sch Software Engn, Beijing 102209, Peoples R China
[2] Beijing Univ Posts & Telecommun, Dept Math, Sch Sci, Beijing 100876, Peoples R China
来源：
ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, AICI 2010, PT II | 2010年 / 6320卷
关键词：
multi-objective optimization; damping search algorithm; damped vibration; Pareto optimal solution;
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：
An algorithm based on damped vibration for multi-objective optimization problems is proposed in this paper. This algorithm makes use of the concept of damped vibration to do local search to find optimal solutions. The concept of Pareto Dominance is used to determine whether a solution is optimal. Meanwhile, the use of many random vibrators and the randomness of the initial maximum displacement ensure that the solutions are global. Simulation results show that the damping search algorithm is efficient in finding more solutions and also have good convergence and solution diversity.
引用
收藏
页码：185 / 192
页数：8
相关论文
共 50 条
  • [21] Multi-objective interior search algorithm for optimization: A new multi-objective meta-heuristic algorithm
    Torabi, Navid
    Tavakkoli-Moghaddam, Reza
    Najafi, Esmaiel
    Lotfi, Farhad Hosseinzadeh
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2018, 35 (03) : 3307 - 3319
  • [22] Altruistic population algorithm: A metaheuristic search algorithm for solving multimodal multi-objective optimization problems
    Ouyang, Haibin
    Chen, Jianhong
    Li, Steven
    Xiang, Jianhua
    Zhan, Zhi-Hui
    [J]. MATHEMATICS AND COMPUTERS IN SIMULATION, 2023, 210 : 296 - 319
  • [23] An Improved Cuckoo Search Algorithm for Multi-Objective Optimization
    TIAN Mingzheng
    HOU Kuolin
    WANG Zhaowei
    WAN Zhongping
    [J]. Wuhan University Journal of Natural Sciences, 2017, 22 (04) : 289 - 294
  • [24] A Multi-Objective Carnivorous Plant Algorithm for Solving Constrained Multi-Objective Optimization Problems
    Yang, Yufei
    Zhang, Changsheng
    [J]. BIOMIMETICS, 2023, 8 (02)
  • [25] MOMPA: Multi-objective marine predator algorithm for solving multi-objective optimization problems
    Jangir, Pradeep
    Buch, Hitarth
    Mirjalili, Seyedali
    Manoharan, Premkumar
    [J]. EVOLUTIONARY INTELLIGENCE, 2023, 16 (01) : 169 - 195
  • [26] A Species-Based Multi-Objective Genetic Algorithm for Multi-Objective Optimization Problems
    Sun Fuquan
    Wang Hongfeng
    Lu Fuqiang
    [J]. 2014 11TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2014, : 5063 - 5066
  • [27] A PSO-Based Hybrid Multi-Objective Algorithm for Multi-Objective Optimization Problems
    Wang, Xianpeng
    Tang, Lixin
    [J]. ADVANCES IN SWARM INTELLIGENCE, PT II, 2011, 6729 : 26 - 33
  • [28] Brain Storm Optimization Algorithm for Multi-objective Optimization Problems
    Xue, Jingqian
    Wu, Yali
    Shi, Yuhui
    Cheng, Shi
    [J]. ADVANCES IN SWARM INTELLIGENCE, ICSI 2012, PT I, 2012, 7331 : 513 - 519
  • [29] MOMPA: Multi-objective marine predator algorithm for solving multi-objective optimization problems
    Pradeep Jangir
    Hitarth Buch
    Seyedali Mirjalili
    Premkumar Manoharan
    [J]. Evolutionary Intelligence, 2023, 16 : 169 - 195
  • [30] Multi-objective generalized normal distribution optimization: a novel algorithm for multi-objective problems
    Khodadadi, Nima
    Khodadadi, Ehsan
    Abdollahzadeh, Benyamin
    EI-Kenawy, El-Sayed M.
    Mardanpour, Pezhman
    Zhao, Weiguo
    Gharehchopogh, Farhad Soleimanian
    Mirjalili, Seyedali
    [J]. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2024, 27 (08): : 10589 - 10631
12345