Metaheuristic

Known as: Meta-Heuristic Methods, Meta heuristics, Euristic Algorithm 
In computer science and mathematical optimization, a metaheuristic is a higher-level procedure or heuristic designed to find, generate, or select a… (More)
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Topic mentions per year

Topic mentions per year

1939-2018
0500100019392017

Papers overview

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Highly Cited
2015
Highly Cited
2015
In recent years, the field of combinatorial optimization has witnessed a true tsunami of “novel” metaheuristic methods, most of… (More)
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Highly Cited
2013
Highly Cited
2013
No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means Limit of… (More)
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Highly Cited
2011
Highly Cited
2011
In this paper, we address a virtual network embedding problem. Indeed, our objective is to map virtual networks in the substrate… (More)
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Highly Cited
2010
Highly Cited
2010
We encounter optimization problems in our daily lives and in various research domains. Some of them are so hard that we can, at… (More)
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Highly Cited
2006
Highly Cited
2006
We consider the problem of parameter estimation (model calibration) in nonlinear dynamic models of biological systems. Due to the… (More)
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Highly Cited
2005
Highly Cited
2005
This work presents both application and comparison of the metaheuristic techniques to generation expansion planning (GEP) problem… (More)
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Highly Cited
2002
Highly Cited
2002
This paper describes a racing procedure for finding, in a limited amount of time, a configuration of a metaheuristic that… (More)
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Highly Cited
2002
Highly Cited
2002
Hybrid metaheuristics have received considerable interest these recent years in the field of combinatorial optimization. A wide… (More)
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Highly Cited
2001
Highly Cited
2001
Ant Colony Optimization (ACO) [31, 32] is a recently proposed metaheuristic approach for solving hard combinatorial optimization… (More)
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Highly Cited
2001
Highly Cited
2001
In this paper, we propose a metaheuristic to solve the pickup and delivery problem with time windows. Our approach is a tabu… (More)
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