Nonessential objective functions in linear multiobjective optimization problems
Agnieszka Malinowska (2006)
Control and Cybernetics
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Agnieszka Malinowska (2006)
Control and Cybernetics
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Jussi Hakanen, Yoshiaki Kawajiri, Kaisa Miettinen, Lorenz Biegler (2007)
Control and Cybernetics
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Oscar Cordón, Francisco Herrera, Thomas Stützle (2002)
Mathware and Soft Computing
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Ant Colony Optimization (ACO) is a recent metaheuristic method that is inspired by the behavior of real ant colonies. In this paper, we review the underlying ideas of this approach that lead from the biological inspiration to the ACO metaheuristic, which gives a set of rules of how to apply ACO algorithms to challenging combinatorial problems. We present some of the algorithms that were developed under this framework, give an overview of current applications, and analyze the relationship...
Clarisse Dhaenens, Patrick Siarry, El-Ghazali Talbi (2008)
RAIRO - Operations Research
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Moshe Sniedovich, Stefan Voß (2006)
Control and Cybernetics
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Oscar Cordón, Francisco Herrera, Thomas Stützle (2002)
Mathware and Soft Computing
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Ant Colony Optimization (ACO) is a metaheuristic that is inspired by the shortest path searching behavior of various ant species [1,2]. The initial work of Dorigo, Maniezzo and Colorni [3,4] who proposed the first ACO algorithm called Ant System, has stimulated a still strongly increasing number of researchers to develop more sophisticated and better performing ACO algorithms that are used to successfully solve a large number of hard combinatorial optimization problems such as the traveling...
Mauro Birattari, Mark Zlochin, Marco Dorigo (2006)
RAIRO - Theoretical Informatics and Applications
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A number of methodological papers published during the last years testify that a need for a thorough revision of the research methodology is felt by the operations research community – see, for example, [Barr (1995) 9–32; Eiben and Jelasity, 582–587; Hooker, (1995) 33–42; Rardin and Uzsoy, (2001) 261–304]. In particular, the performance evaluation of nondeterministic methods, including widely studied metaheuristics such as evolutionary...