A Quantum Behaved Particle Swarm Optimization with a Chaotic Operator

被引：0
|
作者：
Li, Mingming [1 ]
Cao, Dandan [1 ,2 ]
Gao, Hao [3 ]
机构：
[1] Beijing Inst Control Engn, Beijing, Peoples R China
[2] China Acad Space Technol, Hangzhou Inst, Hangzhou, Peoples R China
[3] Nanjing Univ Posts & Commun, Nanjing, Peoples R China
来源：
ARTIFICIAL INTELLIGENCE AND ROBOTICS, ISAIR 2023 | 2024年 / 1998卷
关键词：
quantum behaved; particle swarm optimization; chaotic operator; ARTIFICIAL BEE COLONY; ALGORITHM;
D O I：
10.1007/978-981-99-9109-9_21
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
As a popular population based Evolutionary Algorithm, quantum behaved particle swarm optimization (QPSO) has applied widely in many real-world problems. In this paper, for further enhancing the performance of QPSO, we proposed a popular chaotic map into it. The new chaotic operator not only accelerate the convergence rate but also strengthen the search ability in the total space of the original QPSO. Furthermore, we verify the revised algorithm on some traditional benchmark functions. The final compared results on the images prove the superior of our algorithm.
引用
收藏
页码：212 / 218
页数：7
相关论文
共 50 条
  • [1] A New Quantum-Behaved Particle Swarm Optimization with a Chaotic Operator
    Wu, Zhenghua
    Wu, Dongmei
    Hu, Haidong
    Wang, Chuangye
    Gao, Hao
    INTELLIGENT COMPUTING, NETWORKED CONTROL, AND THEIR ENGINEERING APPLICATIONS, PT II, 2017, 762 : 164 - 170
  • [2] Quantum-behaved particle swarm optimization with chaotic search
    Yang, Kaiqiao
    Nomura, Hirosato
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2008, E91D (07): : 1963 - 1970
  • [3] Quantum-behaved Particle Swarm Optimization with Crossover Operator
    Su, Dianbo
    Xu, Wenbo
    Sun, Jun
    PROCEEDINGS OF THE 2009 INTERNATIONAL CONFERENCE ON WIRELESS NETWORKS AND INFORMATION SYSTEMS, 2009, : 399 - 402
  • [4] Quantum-behaved particle swarm optimization with immune operator
    Liu, Jing
    Sun, Jun
    Xu, Wenbo
    FOUNDATIONS OF INTELLIGENT SYSTEMS, PROCEEDINGS, 2006, 4203 : 77 - 83
  • [5] Quantum-behaved Particle Swarm Optimization with mutation operator
    Liu, J
    Xu, WB
    Sun, J
    ICTAI 2005: 17TH IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2005, : 237 - 240
  • [6] Quantum-behaved particle swarm optimization with adaptive mutation operator
    Liu, Jing
    Sun, Jun
    Xu, Wenbo
    ADVANCES IN NATURAL COMPUTATION, PT 1, 2006, 4221 : 959 - 967
  • [7] Parameters identification of chaotic systems by quantum-behaved particle swarm optimization
    Yang, Kaiqiao
    Maginu, Kenjiro
    Nomura, Hirosato
    INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS, 2009, 86 (12) : 2225 - 2235
  • [8] Quantum-behaved particle swarm optimization with generalized local search operator for global optimization
    Wang, Jiahai
    Zhou, Yalan
    ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, PROCEEDINGS: WITH ASPECTS OF ARTIFICIAL INTELLIGENCE, 2007, 4682 : 851 - 860
  • [9] A chaotic quantum-behaved particle swarm approach applied to optimization of heat exchangers
    Mariani, Viviana Cocco
    Klassen Duck, Anderson Rodrigo
    Guerra, Fabio Alessandro
    dos Santos Coelho, Leandro
    Rao, Ravipudi Venkata
    APPLIED THERMAL ENGINEERING, 2012, 42 : 119 - 128
  • [10] Chaotic quantum behaved particle swarm optimization algorithm for solving nonlinear system of equations
    Turgut, Oguz Emrah
    Turgut, Mert Sinan
    Coban, Mustafa Turhan
    COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2014, 68 (04) : 508 - 530
12345