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Application of Monkey Search Meta-heuristic to Solving Instances of the Multidimensional Assignment Problem

  • Alla R. Kammerdiner
  • Antonio Mucherino
  • Panos M. Pardalos
Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 381)

Abstract

This study applies a novel metaheuristic approach called Monkey Search for solving instances of the Multidimensional Assignment Problem (MAP). Monkey Search is a global optimization technique inspired by the behavior of a monkey climbing trees. The combinatorial formulation of the MAP in order to incorporate the matrix representation of feasible solutions is considered. The developed software procedure is tested on randomly generated instances of the MAP, and the results of the numerical experiments are presented in this study.

Keywords

Feasible Solution Assignment Problem Greedy Randomize Adaptive Search Procedure Metaheuristic Approach Metaheuristic Search 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Alla R. Kammerdiner
    • 1
  • Antonio Mucherino
    • 1
  • Panos M. Pardalos
    • 1
  1. 1.University of FloridaGainesville 

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