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Iterated Local Search

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This is a survey of "Iterated Local Search", a general purpose metaheuristic for finding good solutions of combinatorial optimization problems. It is based on building a sequence of (locally optimal) solutions by: (1) perturbing the current solution; (2) applying local search to that modified solution. At a high level, the method is simple, yet it allows for a detailed use of problem-specific properties. After giving a general framework, we cover the uses of Iterated Local Search on a number of well studied problems.

H.R. Lourenco, O.C. Martin, T. Stutzle• 2001

Related benchmarks

TaskDatasetResultRank
Job Shop SchedulingJSSP ft, la, abz, orb, ta instances
Optimality Gap0.00e+0
56
Quadratic Assignment ProblemQAP (Quadratic Assignment Problem) Cross-domain Transfer nug12-30, tai20a-256c
Gap (%)0.00e+0
33
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