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Hybrid Self Organising Migrating – Scatter Search Algorithm

  • Donald David Davendra
  • Ivan Zelinka
  • Godfrey Onwubolu
Part of the Intelligent Systems Reference Library book series (ISRL, volume 38)

Abstract

A hybrid approach combining the unique exploration strategy of Discreet Self Organising Migration Algorithm and the robust and effective memory adaptive programming paradigm of Scatter Search is presented. The new hybrid approach is developed to solve permutative combinatorial optimization problems and it applied to the flow-shop with no-wait scheduling optimization problem. Experimentation is done with the benchmark Taillard sets and the obtained results are favorably compared with results in current literature.

Keywords

Particle Swarm Optimization Schedule Problem Scatter Search Perturbation Matrix Migrate Algorithm 
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 2013

Authors and Affiliations

  • Donald David Davendra
    • 1
  • Ivan Zelinka
    • 1
  • Godfrey Onwubolu
    • 2
  1. 1.Department of Computing Science, Faculty of Electrical Engineering and Computing ScienceTechnical University of OstravaOstravaCzech Republic
  2. 2.School of Applied TechnologyHumber Institute of Technology and Advanced LearningTorontoCanada

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