Elite opposition-flower pollination algorithm for quadratic assignment problem

Faculty Computer Science Year: 2017
Type of Publication: ZU Hosted Pages:
Authors:
Journal: Journal of Intelligent & Fuzzy Systems IOS press Volume:
Keywords : Elite opposition-flower pollination algorithm , quadratic assignment    
Abstract:
The quadratic assignment problem (QAP) is one of the most studied combinatorial optimization problems with various practical applications. In This paper, we present an Elite Opposition-Flower Pollination Algorithm (EOFPA) for solving Quadra
   
     
 
       

Author Related Publications

  • Laila Abdel Fattah Shawqi Ibrahim, "A comparative study of cuckoo search and flower pollination algorithm on solving global optimization problems", emerald insight, 2017 More
  • Laila Abdel Fattah Shawqi Ibrahim, "Metaheuristic Algorithms: A Comprehensive Review", Elsevier‏, 2018 More
  • Laila Abdel Fattah Shawqi Ibrahim, "A comprehensive study of cuckoo-inspired algorithms", Springer‏, 2018 More
  • Laila Abdel Fattah Shawqi Ibrahim, "An improved nature inspired meta-heuristic algorithm for 1-D bin packing problems", Springer‏, 2018 More
  • Laila Abdel Fattah Shawqi Ibrahim, "Grid quorum‐based spatial coverage in mobile wireless sensor networks using nature‐inspired firefly algorithm", John Wiley & Sons, 2019 More

Department Related Publications

  • Saber Mohamed, "Training and Testing a Self-Adaptive Multi-Operator Evolutionary Algorithm for Constrained Optimization", ELSEVEIR, 2015 More
  • Saber Mohamed, "A new genetic algorithm for solving optimization problems", ELSEVIER, 2013 More
  • Saber Mohamed, "Particle Swarm Optimizer for Constrained Optimization", IEEE, 2013 More
  • Saber Mohamed, "Memetic Multi-Topology Particle Swarm Optimizer for Constrained Optimization", IEEE, 2012 More
  • Asmaa Atef Hassan El Sayed, "Composite Heuristic Priority Rules –Based on Tie-Breakers for Scheduling Multiple-Constrained Resource Projects", International Journal of Computer Applications Technology and Research (IJCATR), 2015 More
Tweet