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INFOR: Information Systems and Operational Research Volume 46, 2008 - Issue 1: CORS 50th Anniversary Special Issue
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Original Articles

Metaheuristics: A Canadian Perspective

Michel GendreauDépartement d'informatique et de recherche opérationnelle and Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport (CIRRELT), Université de Montréal, C.P. 6128, succursale Centre-ville, Montréal, CanadaH3C 3J7, emails: [email protected]; [email protected]
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Jean-Yves PotvinDépartement d'informatique et de recherche opérationnelle and Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transport (CIRRELT), Université de Montréal, C.P. 6128, succursale Centre-ville, Montréal, CanadaH3C 3J7, emails: [email protected]; [email protected]
Pages 71-80 | Received 01 Nov 2007, Accepted 01 Dec 2007, Published online: 18 Jan 2017
 
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Abstract

Metaheuristics are generic search strategies that can be adapted to solve complex problems. This paper describes in simple terms the most popular metaheuristics for combinatorial optimization problems. It also emphasizes the main contributions of the Canadian research community in the development and application of metaheuristics.

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