山东农业大学学报（自然科学版）2013，Vol.44Issue(1)：133-136,4.
改进的人工蜂群算法在作业调度中的应用
MODIFIED ARTIFICIAL BEE COLONY ALGORITHM FOR JOB SCHEDULING PROBLEM
摘要
Abstract
Artificial Bee Colony Algorithm (ABC) is an optimization algorithm based on the ntelligent foraging behavior of honey bee swarm. The job scheduling wovk is the problem of assigning the jobs in the system in a manner that will optimize the overall performance of the application. In this paper, An Efficient artificial bee colony ( ABC) algorithm, where the additional mutation and crossover operator of Genetic algorithm ( CA) weve used in the classical ABC algorithm. The crossover operator after the employed bee phase and mutation operator after onlooker bee phase of ABC algorithm hawe been used. The simulated results show that ABC proves to be a better algorithm when applied to job scheduling problem. 关键词
人工蜂群算法/作业调度/遗传算法/适应度Key words
Artificial bee colony/genetic algorithm/ job scheduling problem分类
信息技术与安全科学引用本文复制引用
邵金平,陈亮,周庆..改进的人工蜂群算法在作业调度中的应用[J].山东农业大学学报（自然科学版）,2013,44(1):133-136,4.
