A GA-SVM feature selection model based on high performance computing techniques

  • Authors:
  • Tianyou Zhang;Xiuju Fu;Rick Siow Mong Goh;Chee Keong Kwoh;Gary Kee Khoon Lee

  • Affiliations:
  • Institute of High Performance Computing, Connexis, Singapore;Institute of High Performance Computing, Connexis, Singapore;Institute of High Performance Computing, Connexis, Singapore;Nanyang Technological University, Singapore;Institute of High Performance Computing, Connexis, Singapore

  • Venue:
  • SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
  • Year:
  • 2009

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Abstract

Evolutionary multiobjective optimization (EMO) is an active research area in the field of evolutionary computation. EMO algorithms are designed to find a non-dominated solution set that approximates the entire Pareto front of a multiobjective optimization ...