Main Reference PaperWhale Optimization Approaches for Wrapper Feature Selection, Applied Soft Computing, 2018 [Python]
  • The proposed Whale Optimization Algorithm extracts the optimal features to facilitate the classification process. It resolves the binary issues and computes the accurate solution in faster by using the cross over and mutation operators

Description
  • The proposed Whale Optimization Algorithm extracts the optimal features to facilitate the classification process. It resolves the binary issues and computes the accurate solution in faster by using the cross over and mutation operators

  • To capture the optimal features for the classification

  • To examine the effect of using the Tournament and Roulette Wheel selection mechanisms

Aim & Objectives
  • To capture the optimal features for the classification

  • To examine the effect of using the Tournament and Roulette Wheel selection mechanisms

  • The feature selection based on the filtering methods contribute the performance when dealing with the large-scale data

Contribution
  • The feature selection based on the filtering methods contribute the performance when dealing with the large-scale data

  • 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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