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多因子进化算法研究进展

徐庆征 杨恒 王娜 伍国华 江巧永

计算机工程与应用2018,Vol.54Issue(11):15-20,40,7.
计算机工程与应用2018,Vol.54Issue(11):15-20,40,7.DOI:10.3778/j.issn.1002-8331.1803-0014

多因子进化算法研究进展

Recent advances in multifactorial evolutionary algorithm

徐庆征 1杨恒 1王娜 1伍国华 2江巧永3

作者信息

  • 1. 国防科技大学 信息通信学院,西安710106
  • 2. 国防科技大学 系统工程学院,长沙410073
  • 3. 西安理工大学 计算机科学与工程学院,西安710048
  • 折叠

摘要

Abstract

Multifactorial optimization is a new category of optimization problems.Inspired by multifactorial inheritance model, multifactorial evolutionary algorithm can solve multiple cross-domain optimization problems simultaneously using a single population of evolving individuals.Regarded as belonging to the realm of memetic algorithm,it has become a hot issue emerging recently in intelligent computation. The biological basis and algorithm procedure of multifactorial evolutionary algorithm and the concept of memetic algorithm are firstly introduced in this paper.Major theoretical and application results are then reviewed critically from the perspective of working mechanism, algorithm improvement and typical application fields.Finally a number of future challenges and opportunities are proposed to help move the field forward.

关键词

多因子进化算法/多因子优化/进化算法/选型交配/垂直文化传播/文化基因算法

Key words

multifactorial evolutionary algorithm/multifactorial optimization/evolutionary computation/assortative mating/vertical cultural transmission/memetic algorithm

分类

信息技术与安全科学

引用本文复制引用

徐庆征,杨恒,王娜,伍国华,江巧永..多因子进化算法研究进展[J].计算机工程与应用,2018,54(11):15-20,40,7.

基金项目

国家自然科学基金(No.61305083,No.61603404). (No.61305083,No.61603404)

计算机工程与应用

OA北大核心CSCDCSTPCD

1002-8331

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