An Improved Chaotic Flower Pollination Algorithm for Solving Large Integer Programming Problems

Faculty Computer Science Year: 2014
Type of Publication: ZU Hosted Pages:
Authors:
mahmoud mohamed ismail ali
Journal: International Journal of Digital Content Technology and its Applications International Journal of Digital Content Technology and its Applications Volume:
Keywords : , Improved Chaotic Flower Pollination Algorithm , Solving    
Abstract:
Flower pollination Algorithm is a recently-developed method in the field of computational intelligence. In this paper is presented an improved version of Flower pollination Meta-heuristic Algorithm, (FPPSO), for solving integer programmin
    
     
 
       

Author Related Publications

  • mahmoud mohamed ismail ali, "A parallel branch and bound algorithm for solving large scale integer programming problems", Natural Sciences Publiching Cor, 2014 More
  • mahmoud mohamed ismail ali, "AN EFFICIENT Hybrid Swarm Intelligence Technique for Solving Integer Programming", International Journal of Computers & Technology, 2013 More
  • mahmoud mohamed ismail ali, "A Hybrid Swarm Intelligence Technique for Solving Integer Multi-objective Problems", international journal of computer applications, 2014 More
  • mahmoud mohamed ismail ali, "A Comparison between FPPSO and B&B Algorithm for Solving Integer Programming Problems", International Journal of Computer Applications Technology and Research, 2015 More
  • mahmoud mohamed ismail ali, "Decision Making Methods for Evaluation of Efficiency of General Insurance Companies in Malaysia: A ‎Comparative Study‎", IEEE, 2019 More

Department Related Publications

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  • Saber Mohamed, "Evolving the Parameters of Differential Evolution using Evolutionary Algorithms", Springer, 2014 More
  • Saber Mohamed, "A Comparative Study of Different Variants of Genetic Algorithms for Constrained Optimization", Springer, 2010 More
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