Quantum-inspired evolutionary algorithm for numerical optimization

被引：0
|
作者：
da Cruz, Andre A. Abs [1 ]
Vellasco, Marley M. B. R. [1 ]
Pacheco, Marco Aurelio C. [1 ]
机构：
[1] Pontificia Univ Catolica Rio de Janeiro, Dept Elect Engn, Rio De Janeiro, Brazil
来源：
2006 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-6 | 2006年
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：
Since they were proposed as an optimization method, evolutionary algorithms(EA) have been used to solve problems in several research fields. This success is due, besides other things, to the fact that these algorithms do not require previous considerations regarding the problem to be optimized and offers a high degree of parallelism. However, some problems are computationally intensive regarding solution's evaluation, which makes the optimization by EA's slow for some situations. This paper proposes a novel EA for numerical optimization inspired by the multiple universes principle of quantum computing. Results show that this algorithm can find better solutions, with less evaluations, when compared with similar algorithms.
引用
收藏
页码：2615 / 2622
页数：8
相关论文
共 50 条
  • [1] A Quantum-Inspired Evolutionary Algorithm for Optimization Numerical Problems
    Fiasche, Maurizio
    [J]. NEURAL INFORMATION PROCESSING, ICONIP 2012, PT III, 2012, 7665 : 686 - 693
  • [2] Cultural operators for a quantum-inspired evolutionary algorithm applied to numerical optimization problems
    da Cruz, AVA
    Pacheco, MAC
    Vellasco, M
    Barbosa, CRH
    [J]. ARTIFICIAL INTELLIGENCE AND KNOWLEDGE ENGINEERING APPLICATIONS: A BIOINSPIRED APPROACH, PT 2, PROCEEDINGS, 2005, 3562 : 1 - 10
  • [3] A Real-Coded Quantum-Inspired Evolutionary Algorithm for Global Numerical Optimization
    Qin, Chaoyong
    Liu, Yongjuan
    Zheng, Jianguo
    [J]. 2008 IEEE CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS, VOLS 1 AND 2, 2008, : 239 - +
  • [4] Methodology and case study of hybrid quantum-inspired evolutionary algorithm for numerical optimization
    Yang, Qing
    Ding, Shengchao
    [J]. ICNC 2007: THIRD INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 5, PROCEEDINGS, 2007, : 634 - +
  • [5] Quantum-inspired evolutionary algorithm for continuous space optimization
    Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
    不详
    [J]. Chin J Electron, 2008, 1 (80-84):
  • [6] Quantum-inspired evolutionary algorithm for a class of combinatorial optimization
    Han, KH
    Kim, JH
    [J]. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2002, 6 (06) : 580 - 593
  • [7] Quantum-inspired evolutionary algorithm for continuous space optimization
    Li Panchi
    Li Shiyong
    [J]. CHINESE JOURNAL OF ELECTRONICS, 2008, 17 (01) : 80 - 84
  • [8] Quantum-Inspired Evolutionary Algorithm for Optimization Problems Approach
    Fiasche, Maurizio
    Morabito, Francesco C.
    [J]. NEURAL NETS WIRN11, 2011, 234 : 139 - 146
  • [9] Real-observation quantum-inspired evolutionary algorithm for a class of numerical optimization problems
    Zhang, Gexiang
    Rong, Haina
    [J]. COMPUTATIONAL SCIENCE - ICCS 2007, PT 4, PROCEEDINGS, 2007, 4490 : 989 - +
  • [10] Quantum-Inspired Evolutionary Algorithms Applied to Numerical Optimization Problems
    Abs da Cruz, Andre Vargas
    Vellasco, Marley M. B. R.
    Pacheco, Marco Aurelio C.
    [J]. 2010 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2010,
12345