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Biogeography Based Optimization for Multi-Knapsack Problems

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Advances in Neural Networks – ISNN 2012 (ISNN 2012)

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Abstract

Biogeography-based Optimization Algorithm (BBOA) is a kind of new global optimization algorithm inspired by biogeography. It mimics the migration behavior of animals in nature to solve engineering problems. In this paper, BBOA based Multidimensional Knapsack Problem (MKPBBOA) is proposed. The migration strategy is designed to solve the combination optimization problem. It is tested on standard MKPs. The experiment results show that MKPBBOA is good at solving such problems.

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Mo, H., Li, Z., Zhang, L. (2012). Biogeography Based Optimization for Multi-Knapsack Problems. In: Wang, J., Yen, G.G., Polycarpou, M.M. (eds) Advances in Neural Networks – ISNN 2012. ISNN 2012. Lecture Notes in Computer Science, vol 7367. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31346-2_74

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  • DOI: https://doi.org/10.1007/978-3-642-31346-2_74

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31345-5

  • Online ISBN: 978-3-642-31346-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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