Multi-Search Sub-Swarm-Based Optimization Using Genetic Algorithm

نویسندگان

  • Ekene Frank Ozioko
  • Ammar W. Mohemmed
  • Mohamad Yusoff
چکیده

Particle swarm optimization is affected by premature convergence, no guarantee in finding optimal solution, lack of solution amongst other issues. This paper reviews many literature on PSO and proposes a Hybrid MultiSearch Sub-Swarm PSO by using multiple sub swarm PSO in combination with multi search space algorithm. The particles are divided into equal parts and deployed into the number of sub swarms available. Multi search space algorithm is used to obtain an optimum solution for each sub swarm and these solutions are then deployed yet into a new swarm to obtain the best of all the solution.

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تاریخ انتشار 2014