A genetic algorithm for the multidimensional knapsack problem

被引：574
|
作者：
Chu, PC [1 ]
Beasley, JE [1 ]
机构：
[1] Imperial Coll, Sch Management, London SW7 2AZ, England
来源：
JOURNAL OF HEURISTICS | 1998年 / 4卷 / 01期
关键词：
genetic algorithms; multidimensional knapsack; multiconstraint knapsack; combinatorial optimisation;
D O I：
10.1023/A:1009642405419
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we present a heuristic based upon genetic algorithms for the multidimensional knapsack problem. A heuristic operator which utilises problem-specific knowledge is incorporated into the standard genetic algorithm approach. Computational results show that the genetic algorithm heuristic is capable of obtaining high-quality solutions for problems of various characteristics, whilst requiring only a modest amount of computational effort. Computational results also show that the genetic algorithm heuristic gives superior quality solutions to a number of other heuristics.
引用
收藏
页码：63 / 86
页数：24
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