多目标0-1规划的萤火虫算法  

Solving Multi-Objective 0-1 Programming Problem by Artificial Glowworm Swarm Optimization Algorithm

作　　者：程魁[1] 马良[1] 

机构地区：[1]上海理工大学管理学院,上海200093

出　　处：《数学的实践与认识》2013年第19期62-67,共6页Mathematics in Practice and Theory

基　　金：国家自然科学基金(70871081);上海市研究生创新基金(JWCXSL1202)

摘　　要：针对于多目标0-1规划问题,给出一种新型的智能优化算法-萤火虫优化算法对其进行求解,并在计算机上予以实现.经一系列算例测试,并与其它智能算法进行比较,算法能获得较多的非劣解,表明算法可行有效,可求解实际应用中的相应问题.In order to solve the multi-objective 0-1 programming problem with linear con- strains, we present a new intelligent optimization algorithm--artificial glowworm swarm optimization algorithm. This proposed algorithm is coded and implemented in the micro- computer. In solving the multi-objective 0-1 programming problem with the proposed algo- rithm, experimental results of numerical simulations, compared with other intelligent algo- rithms, can get more non-dominated solutions. It is shown that this algorithm is effective and can find solution for some models in practical application.

关 键 词：多目标 0-1规划 萤火虫算法 

分 类 号：O221.4[理学—运筹学与控制论] TP301.6[理学—数学]