Abstract
This article reports an experimental study on a given structural 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 solutions 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.
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Liefooghe, A., Paquete, L., Simões, M., Figueira, J.R. (2011). Connectedness and Local Search for Bicriteria Knapsack Problems. In: Merz, P., Hao, JK. (eds) Evolutionary Computation in Combinatorial Optimization. EvoCOP 2011. Lecture Notes in Computer Science, vol 6622. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20364-0_5
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DOI: https://doi.org/10.1007/978-3-642-20364-0_5
Publisher Name: Springer, Berlin, Heidelberg
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