Enhanced ants system and its application

被引：0
|
作者：
陈义保
钟毅芳
张磊
机构：
[1] Huazhong Univ .of Science and Technology
[2] Coll .of Mechanical and Electronic &Automobile Engineering
[3] P.R. China
[4] Yantai Univ Yantai 264005
[5] Wuhan 430074
[6] Yantai Univ
[7] CAD Center
来源：
JournalofSystemsEngineeringandElectronics | 2005年 / 03期
关键词：
ants system; restraint; condition path; combinational optimization;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
NP hard combinational optimization problem is not solved very well until now. One enhanced ants system based on ants system is advanced after analysis of the deficiencies of existing ants systems. Some improvements are made in state transfer rule and local modification rule. Furthermore, the enhanced ants system can solve NP hard combinational optimization problem with restraints and condition path. The successful application of TSP problem and transportation net problem indicates that the proposed system has stronger function and higher efficiency than the original system.
引用
收藏
页码：670 / 675
页数：6
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