Paper Info
Title
Modification of the Bat Algorithm using fuzzy logic for dynamical parameter adaptation
Abstract
We describe in this paper the Bat Algorithm and a proposed enhancement using a fuzzy system to dynamically adapt its parameter, original method is compared with the proposed method and also compared with genetic algorithm, providing a more complete analysis of the effectiveness of the bat algorithm. Simulation results on a set of mathematical functions with the fuzzy bat algorithm outperform the traditional bat algorithm and genetic algorithms.
Year
DOI
Venue
2015
10.1109/CEC.2015.7256926
2015 IEEE Congress on Evolutionary Computation (CEC)
Keywords
Field
DocType
Bat Algorithm,Genetic Algorithm,Mathematical Functions,Fuzzy System
Neuro-fuzzy,Mathematical optimization,Algorithm design,Bat algorithm,Fuzzy set operations,Computer science,Fuzzy logic,FSA-Red Algorithm,Artificial intelligence,Cultural algorithm,Population-based incremental learning,Machine learning
Conference
ISSN
Citations 
PageRank 
1089-778X
8
0.56
References 
Authors
9
3
Name
Order
Citations
PageRank
jonathan perez1292.96
Fevrier Valdez295257.96
Oscar Castillo35289452.83