Golden ball: a novel meta-heuristic to solve combinatorial optimization problems based on soccer concepts

被引：0
|
作者：
E. Osaba
F. Diaz
E. Onieva
机构：
[1] University of Deusto,Deusto Institute of Technology (DeustoTech)
来源：
Applied Intelligence | 2014年 / 41卷
关键词：
Meta-heuristics; Golden ball; Distributed genetic algorithm; Routing problems; Combinatorial optimization; Intelligent transportation systems;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, a new multiple population based meta-heuristic to solve combinatorial optimization problems is introduced. This meta-heuristic is called Golden Ball (GB), and it is based on soccer concepts. To prove the quality of our technique, we compare its results with the results obtained by two different Genetic Algorithms (GA), and two Distributed Genetic Algorithms (DGA) applied to two well-known routing problems, the Traveling Salesman Problem (TSP) and the Capacitated Vehicle Routing Problem (CVRP). These outcomes demonstrate that our new meta-heuristic performs better than the other techniques in comparison. We explain the reasons of this improvement.
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收藏
页码：145 / 166
页数：21
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