NILS: a Neutrality-based Iterated Local Search and its application to Flowshop Scheduling

Abstract : This paper presents a new methodology that exploits specific characteristics from the fitness landscape. In particular, we are interested in the property of neutrality, that deals with the fact that the same fitness value is assigned to numerous solutions from the search space. Many combinatorial optimization problems share this property, that is generally very inhibiting for local search algorithms. A neutrality-based iterated local search, that allows neutral walks to move on the plateaus, is proposed and experimented on a permutation flowshop scheduling problem with the aim of minimizing the makespan. Our experiments show that the proposed approach is able to find improving solutions compared with a classical iterated local search. Moreover, the tradeoff between the exploitation of neutrality and the exploration of new parts of the search space is deeply analyzed.
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Communication dans un congrès
Peter Merz and Jin-Kao Hao. 11th European Conference on Evolutionary Computation in Combinatorial Optimisation, Apr 2011, Turino, Italy. Springer, 6622, pp.191--202, 2011, Lecture Notes in Computer Science
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  • HAL Id : hal-00563459, version 1
  • ARXIV : 1207.4450

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Marie-Eleonore Marmion, Clarisse Dhaenens, Laetitia Jourdan, Arnaud Liefooghe, Sébastien Verel. NILS: a Neutrality-based Iterated Local Search and its application to Flowshop Scheduling. Peter Merz and Jin-Kao Hao. 11th European Conference on Evolutionary Computation in Combinatorial Optimisation, Apr 2011, Turino, Italy. Springer, 6622, pp.191--202, 2011, Lecture Notes in Computer Science. 〈hal-00563459〉

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