A Review of Niching Genetic Algorithms for Multimodal Function Optimization

  • Authors:
  • N. N. Glibovets;N. M. Gulayeva

  • Affiliations:
  • National University of Kyiv-Mohyla Academy, Kyiv, Ukraine;National University of Kyiv-Mohyla Academy, Kyiv, Ukraine

  • Venue:
  • Cybernetics and Systems Analysis
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, a comprehensive review of approaches to solve multimodal function optimization problems via genetic niching algorithms is provided. These algorithms are presented according to their space---time classification. Methods based on fitness sharing and crowding methods are described in detail as they are the most frequently used.