Paper Info
Title
Bat algorithm with parameter adaptation using Interval Type-2 fuzzy logic for benchmark mathematical functions
Abstract
In this paper we propose a new method for dynamic parameter adaptation in the bat algorithm (BA). BA is a metaheuristic algorithm inspired by the behavior of micro bats, which has been applied to different optimization problems obtaining good results. In this paper we propose dynamic parameter adaptation of the BA using Interval Type-2 fuzzy logic. Simulation results show that the proposed method using Type-2 fuzzy logic is better in comparison with Type-1 fuzzy logic.
Year
DOI
Venue
2016
10.1109/IS.2016.7737409
2016 IEEE 8th International Conference on Intelligent Systems (IS)
Keywords
Field
DocType
Bat Algorithm,Type-1 fuzzy logic,Type-2 fuzzy logic
Mathematical optimization,Neuro-fuzzy,Fuzzy classification,Defuzzification,Bat algorithm,Fuzzy set operations,Fuzzy logic,Algorithm,Fuzzy control system,Fuzzy number,Mathematics
Conference
ISBN
Citations 
PageRank 
978-1-5090-1355-5
5
0.44
References 
Authors
7
4
Name
Order
Citations
PageRank
jonathan perez1292.96
Fevrier Valdez295257.96
Oscar Castillo35289452.83
Olympia Roeva48220.49