基于能力评价与利益驱动的扩展蚁群劳动分工模型及在动态任务分配中的应用  

Extended labor division model of ant colony based on ability-evaluation and interest-driven and its applications in dynamic task allocations

作　　者：琚春华[1,2] 陈庭贵[2] 

机构地区：[1]浙江工商大学计算机与信息工程学院,杭州310018 [2]浙江工商大学现代商贸中心,杭州310018

出　　处：《系统工程理论与实践》2014年第1期84-93,共10页Systems Engineering-Theory & Practice

基　　金：国家自然科学基金(71071141);高等学校博士学科点专项科研基金(20103326110001)

摘　　要：蚁群劳动分工模型是一种重要的群集智能表现形式,已广泛应用于现实生活中的任务分配、物流配送等问题.本文针对基本劳动分工模型的不足之处,从个体能力评价与利益驱动两个方面对其进行有效扩展,并通过三个不同的仿真实例,对其性能进行分析,实验结果表明:扩展的蚁群劳动分工模型具有更好的稳健性与柔性,比较适合目前动态的任务分配环境.Labor division model of ant colony is one of important manifestations of collective intelligence, which has been widely applied to task allocations, logistics distribution and so on. In this paper, ability- evaluation and interest-driven are introduced so as to extend basic labor division model. In addition, three different simulation examples are given in order to analyze its performances. The results show extended model has better robustness and flexibility, which is more suitable to be applied to task allocations in a dynamic environment.

关 键 词：能力评价 利益驱动 任务分配 扩展蚁群劳动分工模型 

分 类 号：F240[经济管理—劳动经济]