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Journal of Software:2017.28(1):1-16

求解背包问题的演化算法
王熙照,贺毅朝
(深圳大学 计算机与软件学院, 广东 深圳 518060;河北地质大学 信息工程学院, 河北 石家庄 050031)
Evolutionary Algorithms for Knapsack Problems
WANG Xi-Zhao,HE Yi-Chao
(College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China;College of Information and Engineering, Hebei GEO University, Shijiazhuang 050031, China)
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Received:September 22, 2016    Revised:October 24, 2016
> 中文摘要: 背包问题(knapsack problem,简称KP)是一类著名的组合优化问题,也是一类NP难问题,它包括0-1背包问题、有界背包问题、多维背包问题、多背包问题、多选择背包问题、二次背包问题、动态背包问题和折扣背包问题等多种形式,在众多领域有着广泛的应用.演化算法(EAs)是一类有效的快速近似求解KP的算法.对近10余年来利用EAs求解KP的研究情况进行了较为详细的总结,一方面讨论了利用EAs求解各种KP问题时个体的编码方法与处理不可行解的有效方法,另一方面,为今后进一步利用最新提出的EAs求解KP问题提供了一条可借鉴的思路.
Abstract:Knapsack problem (KP) is a well-known combinatorial optimization problem which includes 0-1 KP, bounded KP, multi-constraint KP, multiple KP, multiple-choice KP, quadratic KP, dynamic knapsack KP, discounted KP and other types of KPs. KP can be considered as a mathematical model extracted from variety of real fields and therefore has wide applications. Evolutionary algorithms (EAs) are universally considered as an efficient tool to solve KP approximately and quickly. This paper presents a survey on solving KP by EAs over the past ten years. It not only discusses various KP encoding mechanism and the individual infeasible solution processing but also provides useful guidelines for designing new EAs to solve KPs.
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基金项目:国家自然科学基金(71371063);深圳市知识创新计划基础研究项目(JCYJ20150324140036825);河北省自然科学基金(F2016403055);河北省高等学校科学研究计划(ZD2016005) 国家自然科学基金(71371063);深圳市知识创新计划基础研究项目(JCYJ20150324140036825);河北省自然科学基金(F2016403055);河北省高等学校科学研究计划(ZD2016005)
Foundation items:National Natural Science Foundation of China (71371063); Basic Research Project of Knowledge Innovation Program in Shenzhen (JCYJ20150324140036825); Natural Science Foundation of Hebei Province (F2016403055); Scientific Research Project Program of Colleges and Universities in Hebei Province (ZD2016005)
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王熙照,贺毅朝.求解背包问题的演化算法.软件学报,2017,28(1):1-16

WANG Xi-Zhao,HE Yi-Chao.Evolutionary Algorithms for Knapsack Problems.Journal of Software,2017,28(1):1-16