An organizational and multi-agent framework to design metaheuristics

被引：0

作者：

Meignan D. ^{[1
]}

Créput J.-C. ^{[1
]}

Koukam A. ^{[1
]}

机构：

[1] Laboratoire Systèmes et Transports, Université de Technologie de Belfort-Montbéliard, Belfort

来源：

Revue d'Intelligence Artificielle | 2010年 / 24卷 / 06期

关键词：

Combinatorial optimization; Metaheuristic; Multiagent system;

D O I：

10.3166/ria.24.787-816

中图分类号：

学科分类号：

摘要：

This paper presents the AMF framework that aims at supporting the design of metaheuristics using an organizational and multiagent approach. It aims at comparing and analyzing existing algorithms, and also facilitating the design of hybrid and new heuristics. This framework is based on an organizational model which describes the metaheuristics in terms of roles and interactions. In addition, we provide some methodological guidelines which favor the design of distributed and auto-adaptive metaheuristics. © 2010 Lavoisier, Paris.

引用

页码：787 / 816

页数：29

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