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GACE: A meta-heuristic based in the hybridization of Genetic Algorithms and Cross Entropy methods for continuous optimization

  • Published:2016-08 Issue: Volume:55 Page:508-519
  • ISSN:0957-4174
  • Container-title:Expert Systems with Applications
  • language:en
  • Short-container-title:Expert Systems with Applications

Author:

Lopez-Garcia P.,Onieva E.,Osaba E.,Masegosa A.D.,Perallos A.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference76 articles.

1. A study of the efficiency of hybridized approaches based on particle swarm optimization technique;Abadlia,2014

2. Integrating particle swarm optimization with genetic algorithms for solving nonlinear optimization problems;Abd-El-Wahed;Journal of Computational and Applied Mathematics,2011

3. Parallel metaheuristics: a new class of algorithms;Alba,2005

4. Cellular genetic algorithms;Alba,2009

5. An adaptive differential evolution algorithm and its performance on real world optimization problems;Asafuddoula,2011

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