Group-Based Ant Colony Optimization

被引：0
|
作者：
Voelkel, Gunnar [2 ]
Maucher, Markus [1 ]
Kestler, Hans A. [1 ]
机构：
[1] Univ Ulm, Res Grp Bioinformat & Syst Biol, Inst Neural Informat Proc, D-89069 Ulm, Germany
[2] Univ Ulm, Inst Theoret Comp Sci, D-89069 Ulm, Germany
来源：
GECCO'13: PROCEEDINGS OF THE 2013 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE | 2013年
关键词：
Ant Colony Optimization; combinatorial optimization; empirical study; transportation;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We introduce Group-Based Ant Colony Optimization which uses a parallel construction principle on group-structured solution encodings. We compare the parallel construction method with the classical sequential one. In this context we also perform simulation experiments for the Vehicle Routing Problem with Time Windows using the Solomon [8] and the Homberger & Gehring [5] instances.
引用
收藏
页码：121 / 128
页数：8
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