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基于鱼群算法的多维背包问题研究

王会颖 倪志伟 陈祥生

安徽农业科学2011,Vol.39Issue(10):6114-6117,6122,5.
安徽农业科学2011,Vol.39Issue(10):6114-6117,6122,5.

基于鱼群算法的多维背包问题研究

Study on Multidimensional Knapsack Problem Based on Artificial Fish School Algorithm

王会颖 1倪志伟 2陈祥生1

作者信息

  • 1. 合肥工业大学,过程优化与智能决策教育部重点实验室,安徽合肥,230009
  • 2. 安徽财贸职业学院电子信息系,安徽合肥,230601
  • 折叠

摘要

Abstract

Artificial fish school algorithm (AFSA) is used to solve multidimensional knapsack problem (MKP) ,multidimensional knapsack problem artificial fish school algorithm (MKPAFSA) is put forward. Elements of MKPAFSA are defined,and inspired factor and dynamic factor are introduced,and AFSA is analyzed and optimized. It greatly reduces the searching time of artificial fishes. It also effectively improves the disadvantages of slow convergence and generally only getting satisfied solution domain. The simulation results show that the algorithm is more efficient.

关键词

多维背包问题/鱼群算法/多维背包问题鱼群算法

Key words

Multidimensional knapsack problem/Artificial fish school algorithm/ Multidimensional knapsack problem artificial fish school algorithm

分类

农业科技

引用本文复制引用

王会颖,倪志伟,陈祥生..基于鱼群算法的多维背包问题研究[J].安徽农业科学,2011,39(10):6114-6117,6122,5.

基金项目

国家"863"计划资助项目(2007AA042116) (2007AA042116)

国家自然科学基金资助项目(70871033) (70871033)

安徽省教育厅自然科学基金项目(KJ2008B021). (KJ2008B021)

安徽农业科学

0517-6611

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