An Evolutionary Algorithm for the Multi-objective Multiple Knapsack Problem

Date

2009-06-26

Author

SOYLU, Banu
Köksalan, Mustafa Murat

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In this study, we consider the multi-objective multiple knapsack problem (MMKP) and we adapt our favorable weight based evolutionary algorithm (FWEA) to approximate the efficient frontier of MMKP. The algorithm assigns fitness to solutions based on their relative strengths as well as their non-dominated frontiers. The relative strength is measured based on a weighted Tchebycheff distance from the ideal point where each Solution chooses its own weights that minimize its distance from the ideal point. We carry Out experiments on test data for MMKP given in the literature and compare the performance of the algorithm with several leading algorithms

Subject Keywords

Evolutionary algorithms, Multiple knapsack problem

URI

https://hdl.handle.net/11511/51136

DOI

https://doi.org/10.1007/978-3-642-02298-2_1

Collections

Department of Industrial Engineering, Conference / Seminar

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Citation Formats

B. SOYLU and M. M. Köksalan, “An Evolutionary Algorithm for the Multi-objective Multiple Knapsack Problem,” 2009, vol. 35, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/51136.