Bat Algorithm with Parameter Adaptation using Interval Type-2 Fuzzy Logic for Benchmark Mathematical Functions

被引：0
|
作者：
Perez, Jonathan [1 ]
Valdez, Fevrier [1 ]
Castillo, Oscar [1 ]
Roeva, Olympia [2 ]
机构：
[1] Tijuana Inst Technol, Tijuana, Mexico
[2] Bulgarian Acad Sci, Inst Biophys & Biomed Engn, Acad G Bonchev Str,Block 105, BU-1113 Sofia, Bulgaria
来源：
2016 IEEE 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS (IS) | 2016年
关键词：
Bat Algorithm; Type-1 fuzzy logic; Type-2 fuzzy logic;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：120 / 127
页数：8
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