Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
393043 | Information Sciences | 2013 | 36 Pages |
Abstract
Metaheuristics are widely recognized as efficient approaches for many hard optimization problems. This paper provides a survey of some of the main metaheuristics. It outlines the components and concepts that are used in various metaheuristics in order to analyze their similarities and differences. The classification adopted in this paper differentiates between single solution based metaheuristics and population based metaheuristics. The literature survey is accompanied by the presentation of references for further details, including applications. Recent trends are also briefly discussed.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Ilhem Boussaïd, Julien Lepagnot, Patrick Siarry,