Abstract. This article reports an experimental study on a given struc-tural property of connectedness of optimal solutions for two variants of the bicriteria knapsack problem. A local search algorithm that explores this property is then proposed and its performance is compared against exact algorithms in terms of running time and number of optimal so-lutions found. The experimental results indicate that this simple local search algorithm is able to find a representative set of optimal solutions in most of the cases, and in much less time than exact approaches.
The 0-1 knapsack problem (KP) is widely studied in the last few decades. Despite of their simple str...
We investigate the complexity of finding locally optimal solutions to NP-hard com-binatorial optimiz...
Many practical decision-making problems involve selecting a subset of objects from a set of candidat...
Best paper award / The final publication is available at www.springerlink.comInternational audienceT...
Best paper award / The final publication is available at www.springerlink.comInternational audienceT...
Best paper award / The final publication is available at www.springerlink.comInternational audienceT...
Best paper award / The final publication is available at www.springerlink.comInternational audienceT...
International audienceIn this article, a local search approach is proposed for three variants of the...
International audienceIn this article, a local search approach is proposed for three variants of the...
International audienceIn this article, a local search approach is proposed for three variants of the...
In this article, a local search approach is proposed for three variants of the bi-objective binary k...
Local search techniques are increasingly often used in multi-objective combinatorial optimization du...
Chv'atal (1980) describes a class of zero-one knapsack problems provably difficult for branch a...
International audience<p>Many practical decision-making problems involve selecting a subset of objec...
International audienceMany practical decision-making problems involve selecting a subset of objects ...
The 0-1 knapsack problem (KP) is widely studied in the last few decades. Despite of their simple str...
We investigate the complexity of finding locally optimal solutions to NP-hard com-binatorial optimiz...
Many practical decision-making problems involve selecting a subset of objects from a set of candidat...
Best paper award / The final publication is available at www.springerlink.comInternational audienceT...
Best paper award / The final publication is available at www.springerlink.comInternational audienceT...
Best paper award / The final publication is available at www.springerlink.comInternational audienceT...
Best paper award / The final publication is available at www.springerlink.comInternational audienceT...
International audienceIn this article, a local search approach is proposed for three variants of the...
International audienceIn this article, a local search approach is proposed for three variants of the...
International audienceIn this article, a local search approach is proposed for three variants of the...
In this article, a local search approach is proposed for three variants of the bi-objective binary k...
Local search techniques are increasingly often used in multi-objective combinatorial optimization du...
Chv'atal (1980) describes a class of zero-one knapsack problems provably difficult for branch a...
International audience<p>Many practical decision-making problems involve selecting a subset of objec...
International audienceMany practical decision-making problems involve selecting a subset of objects ...
The 0-1 knapsack problem (KP) is widely studied in the last few decades. Despite of their simple str...
We investigate the complexity of finding locally optimal solutions to NP-hard com-binatorial optimiz...
Many practical decision-making problems involve selecting a subset of objects from a set of candidat...