Main Reference PaperEnhanced particle swarm optimization with multi-swarm and multi-velocity for optimizing high-dimensional problems, Applied Intelligence, 2018 [Java/Python/R]
  • This work improves the optimization performance of PSO algorithm. An enhanced particle swarm optimization with multi-swarm and multi-velocity(MMPSO) is proposed for high-dimensional data. It consists of three particle swarms and three velocity update methods. A multi-swarm with various velocity update methods in the MMPSO discovers more useful global information and local information to prevent particles from falling into a local optimum.

+ Description
  • This work improves the optimization performance of PSO algorithm. An enhanced particle swarm optimization with multi-swarm and multi-velocity(MMPSO) is proposed for high-dimensional data. It consists of three particle swarms and three velocity update methods. A multi-swarm with various velocity update methods in the MMPSO discovers more useful global information and local information to prevent particles from falling into a local optimum.

  • To improve the optimization precision of the PSO algorithm.

  • To support for high dimensional data.

+ Aim & Objectives
  • To improve the optimization precision of the PSO algorithm.

  • To support for high dimensional data.

  • To further improve the optimization problem in PSO, a chaotic PSO is contributed.

+ Contribution
  • To further improve the optimization problem in PSO, a chaotic PSO is contributed.

  • OS: Ubuntu 12.04 LTS 64bit

  • Language: Java/Python/R

+ Software Tools & Technologies
  • OS: Ubuntu 12.04 LTS 64bit

  • Language: Java/Python/R

  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

+ Project Recommended For
  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

+ Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

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