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

  • Noha Mohamed Ibrahiem Mohamed Hamza, "A constraint consensus memetic algorithm for solving constrained optimization problems", Taylor & Francis, 2014 More
  • Saber Mohamed, "A surrogate-assisted differential evolution algorithm with dynamic parameters selection for solving expensive optimization problems", IEEE, 2014 More
  • Saber Mohamed, "Differential Evolution Combined with Constraint Consensus for Constrained Optimization", IEEE, 2011 More
  • Mohammed Abdel Basset Metwally Attia, "An Interactive Multi-Criteria Decision-Making Approach for Autonomous Vehicles and Distributed Resources Based on Logistic Systems: Challenges for a Sustainable Future", MDPI, 2023 More
  • Mohammed Abdel Basset Metwally Attia, "Optimal selection of battery recycling plant location: strategies, challenges, perspectives, and sustainability", Springer Nature, 2023 More
Tweet