A Modified Shuffled Frog Leaping Algorithm with Genetic Mutation for Combinatorial Optimization

  • Kaushik Kumar Bhattacharjee
  • Sarada Prasad Sarmah
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7654)


In this work, we propose modified versions of shuffled frog leaping algorithm (SFLA) to solve multiple knapsack problems (MKP). The proposed algorithm includes two important operations: repair operator and genetic mutation with a small probability. The former is utilizing the pseudo-utility to repair infeasible solutions, and the later can effectively prevent the algorithm from trapping into the local optimal solution. Computational experiments with a large set of instances show that the proposed algorithm can be an efficient alternative for solving 0/1 multidimensional knapsack problem.


Genetic mutation metaheuristics multidimensional knapsack problem repair operator shuffled frog leaping algorithm 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Kaushik Kumar Bhattacharjee
    • 1
  • Sarada Prasad Sarmah
    • 1
  1. 1.Deptt. of Industrial Engineering and ManagementIndian Institute of Technology KharagpurKharagpurIndia

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