A survey on nature-inspired optimization algorithms with fuzzy logic for dynamic parameter adaptation-Reference-Cited by-同舟云学术

A survey on nature-inspired optimization algorithms with fuzzy logic for dynamic parameter adaptation

Published:2014-10 Issue:14 Volume:41 Page:6459-6466
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Valdez Fevrier,Melin Patricia,Castillo Oscar

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference61 articles.

1. Reliability optimization of a series system with multiple-choice and budget constraints using an efficient ant colony approach;Ahmadizar;Expert Systems with Applications,2011

2. Learning the membership function contexts forming fuzzy association rules by using genetic algorithms;Alcalá;Fuzzy Sets and Systems,2009

3. Almirón, M., Barán, B., & Chaparro, E. 1999. Ant distributed system for solving the traveling salesman problem. In XXV lnformatic Latinoamerican Conf.-CLEI, Paraguay, pp. 779–789.

4. Using selection to improve particle swarm optimization;Angeline,1998

5. Evolutionary optimization versus particle swarm optimization: Philosophy and performance differences, evolutionary programming VII;Angeline,1998

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