Main Reference PaperImproved cat swarm optimization algorithm for solving global optimization problems and its application to clustering, Applied Intelligence, 2018 [Java/Python/R]
  • An improved version of the CSO algorithm is proposed, which solves the weak diversity and convergence rate problem. A local search method is incorporated to improve the quality of solution and handle local the optima problem. In improved CSO, a new position update equation is supported both for tracing and seeking modes.

+ Description
  • An improved version of the CSO algorithm is proposed, which solves the weak diversity and convergence rate problem. A local search method is incorporated to improve the quality of solution and handle local the optima problem. In improved CSO, a new position update equation is supported both for tracing and seeking modes.

  • To find an optimum solution in the search space

  • To overcome the local optima problem through neighborhood information

+ Aim & Objectives
  • To find an optimum solution in the search space

  • To overcome the local optima problem through neighborhood information

  • The performance and accuracy of CSO algorithm are evaluated on various benchmark datasets.

+ Contribution
  • The performance and accuracy of CSO algorithm are evaluated on various benchmark datasets.

  • 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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