Hybrid Computational Intelligent Systems

Chapter 11 Binary MMBAIS for feature selection problem

Hema Banati

Dyal Singh College, University of Delhi

Asha Yadav

University of Delhi

DOI: 10.1201/9781003381167-11

Contents

• 11.1 Introduction: feature selection and Metaheuristic algorithm
• 11.2 Related work
• 11.3 MMBAIS algorithm
• 11.4 Binary MMBAIS
  • 11.4.1 Objective function
  • 11.4.2 Structure of binary MMBAIS
• 11.5 Methodology
• 11.6 Experimental setup
  • 11.6.1 Datasets
  • 11.6.2 Classification methods
• 11.7 Result and performance analysis
• 11.8 Conclusion
• References

11.1 Introduction: feature selection and Metaheuristic algorithm

Feature selection is an optimization problem that seeks a subset of “x” original features where “x<n”. The complete search space for the problem is all feasible “2 ...