Paper Info
Title
Proposed augmentation of the Bat Algorithm using fuzzy logic for dynamic parameter adaptation
Abstract
We describe in this paper the Bat Algorithm and a proposed enhancement using a fuzzy system to dynamically adapt its parameter. The original method is compared with the proposed method and also compared with the 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/NAFIPS-WConSC.2015.7284132
2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC)
Keywords
Field
DocType
Bat Algorithm,Genetic Algorithm,Mathematical Functions,Fuzzy System
Neuro-fuzzy,Algorithm design,Bat algorithm,Fuzzy set operations,Computer science,Fuzzy logic,Artificial intelligence,Adaptive neuro fuzzy inference system,Cultural algorithm,Population-based incremental learning,Machine learning
Conference
Citations 
PageRank 
References 
0
0.34
5
Authors
3
Name
Order
Citations
PageRank
jonathan perez1292.96
Fevrier Valdez295257.96
Oscar Castillo35289452.83