运筹与管理2012，Vol.21Issue(2)：23-26,4.
多目标0-1规划问题的蜂群算法
Bee Colony Algorithm for the Multi-objective 0-1 Programming Problem
摘要
Abstract
In order to solve the multi-objective 0-1 programming problem with linear constrains, we present a new intelligent optimization algorithm--bee colony algorithm. The algorithm is coded and implemented on microcomputer through aseries of numerical tests. Comparisons with genetic algorithm, ant colony optimization algorithm and cellular ant colony algorithm show that the bee colony algorithm can get more pareto solutions to the multi-objective 0-1 programming problem. And the effectiveness of the Bee Colony Algorithm is validated.关键词
智能优化/组合优化/蜂群算法/多目标0-1规划问题Key words
intelligent optimization/ combinatorial optimization/ bee colony algorithm/ multi-objective 0-1 programming problem分类
数理科学引用本文复制引用
韩燕燕,马良,赵小强..多目标0-1规划问题的蜂群算法[J].运筹与管理,2012,21(2):23-26,4.基金项目
国家自然科学基金资助项目(70871081) （70871081）
上海市重点学科建设项目资助(S30504) （S30504）
