solving quadratic assignment problem by symbiotic organisms search algorithm

Faculty Computer Science Year: 2018
Type of Publication: ZU Hosted Pages:
Authors:
Heba Rashad Ismail Abdul Hadi
Journal: international journal of intelligent enterprise international journal of intelligent enterprise Volume:
Keywords : solving quadratic assignment problem , symbiotic organisms    
Abstract:
The quadratic assignment problem (QAP) considers NP-hard combinatorial optimization problem and has various practical applications. Symbiotic organisms search algorithm (SOS) is a new meta-heuristic algorithm based on the symbiotic relation
    
     
 
       

Author Related Publications

  • Heba Rashad Ismail Abdul Hadi, "A comprehensive review of quadratic assignment problem: variants, hybrids and applicationsA comprehensive review of quadratic assignment problem: variants, hybrids and applications", Journal of Ambient Intelligence and Humanized Computing, 2018 More

Department Related Publications

  • Saber Mohamed, "Training and Testing a Self-Adaptive Multi-Operator Evolutionary Algorithm for Constrained Optimization", ELSEVEIR, 2015 More
  • Saber Mohamed, "An Improved Self-Adaptive Differential Evolution Algorithm for Optimization Problems", IEEE, 2013 More
  • Saber Mohamed, "Differential Evolution with Dynamic Parameters Selection for Optimization Problems", IEEE, 2014 More
  • Saber Mohamed, "A Self-Adaptive Combined Strategies Algorithm for Constrained Optimization using Differential Evolution", ELSEVIER, 2014 More
  • Saber Mohamed, "Self-adaptive Mix of Particle Swarm Methodologies for Constrained Optimization", ELSEVIER, 2014 More
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