In "Handbook of Metaheuristics", Ed. F. Glover and G. Kochenberger, ISORMSThis 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
Metaheuristics provide high-level instructions for designing heuristic optimisation algorithms and h...
This book covers local search for combinatorial optimization and its extension to mixed-variable opt...
Local search is a widely used method to solve combinatorial optimization problems. As many relevant ...
none3siMetaheuristic approaches can be classified according to different criteria, one being the num...
International audienceLocal Search metaheuristics are a recognized means of solving hard combinatori...
International audienceMany stochastic local search (SLS) methods rely on the manipulation of single ...
Abstract. Iterated local search (ILS) is a powerful meta-heuristic algo-rithm applied to a large var...
Local search is an integral part of many meta-heuristic strategies that solve single objective optim...
Iterated Local Search (ILS) is a popular metaheuristic search technique for use on combinatorial opt...
This dissertation is concerned with configuring stochastic local search for combinatorial optimizati...
There are numerous combinatorial optimization problems, for which computing exact optimal solutions ...
Local search has been applied successfully to a diverse collection of optimization problems. It's ap...
Local search is an integral part of many meta-heuristic strategies that solve single objective optim...
Two powerful ideas from search methodologies, iterated local search and hyper-heuristics, are combin...
Metaheuristics provide high-level instructions for designing heuristic optimisation algorithms and h...
This book covers local search for combinatorial optimization and its extension to mixed-variable opt...
Local search is a widely used method to solve combinatorial optimization problems. As many relevant ...
none3siMetaheuristic approaches can be classified according to different criteria, one being the num...
International audienceLocal Search metaheuristics are a recognized means of solving hard combinatori...
International audienceMany stochastic local search (SLS) methods rely on the manipulation of single ...
Abstract. Iterated local search (ILS) is a powerful meta-heuristic algo-rithm applied to a large var...
Local search is an integral part of many meta-heuristic strategies that solve single objective optim...
Iterated Local Search (ILS) is a popular metaheuristic search technique for use on combinatorial opt...
This dissertation is concerned with configuring stochastic local search for combinatorial optimizati...
There are numerous combinatorial optimization problems, for which computing exact optimal solutions ...
Local search has been applied successfully to a diverse collection of optimization problems. It's ap...
Local search is an integral part of many meta-heuristic strategies that solve single objective optim...
Two powerful ideas from search methodologies, iterated local search and hyper-heuristics, are combin...
Metaheuristics provide high-level instructions for designing heuristic optimisation algorithms and h...
This book covers local search for combinatorial optimization and its extension to mixed-variable opt...
Local search is a widely used method to solve combinatorial optimization problems. As many relevant ...