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多目标模拟退火算法及其应用研究进展

李金忠 夏洁武 曾小荟 曾劲涛 刘新明 冷明 孙凌宇

计算机工程与科学2013,Vol.35Issue(8):77-88,12.
计算机工程与科学2013,Vol.35Issue(8):77-88,12.DOI:10.3969/j.issn.1007-130X.2013.08.013

多目标模拟退火算法及其应用研究进展

Survey of multi-objective simulated annealing algorithm and its applications

李金忠 1夏洁武 1曾小荟 1曾劲涛 1刘新明 1冷明 1孙凌宇1

作者信息

  • 1. 井冈山大学电子与信息工程学院,江西吉安343009
  • 折叠

摘要

Abstract

Multi-Objective Simulated Annealing (MOSA) algorithm has been widely studied and applied to various fields successfully as a simple and effective multi-objective intelligence optimization algorithm.A systematic survey and discussion of the development of MOSA algorithm and its application in the recent twenty years are introduced.Firstly,the generic framework of MOSA algorithm is briefly described.Secondly,several typical MOSA algorithms are discussed,calculation methods of acceptance probability functions for those algorithms are emphatically addressed,and these algorithms are classified and analyzed.Thirdly,some typical applications of MOSA algorithms are introduced.Finally,some promising directions and challenges for future research in the area of MOSA algorithm are proposed according to the present studies.This paper can provide a comprehensive reference for future study of MOSA in algorithm improvement and its practical applications.

关键词

多目标优化/多目标模拟退火/算法/应用

Key words

multi-objective optimization/ multi-objective simulated annealing/ algorithm/ application

分类

信息技术与安全科学

引用本文复制引用

李金忠,夏洁武,曾小荟,曾劲涛,刘新明,冷明,孙凌宇..多目标模拟退火算法及其应用研究进展[J].计算机工程与科学,2013,35(8):77-88,12.

基金项目

国家自然科学基金资助项目(61163062,61063007) (61163062,61063007)

江西省教育厅科技项目(GJJ12487) (GJJ12487)

江西省自然科学基金资助项目(20122BAB201038) (20122BAB201038)

江西省科技厅科技支撑项目(20122BBG70161) (20122BBG70161)

吉安市科技局2011年度指导性科技计划项目(19) (19)

计算机工程与科学

OA北大核心CSCDCSTPCD

1007-130X

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