Fuzzy Flower Pollination Algorithm: Comparative Study of Type-1 and Interval Type-2 Fuzzy Logic System in Parameter Adaptation Optimization

被引：0
|
作者：
Carreon-Ortiz, Hector [1 ]
Valdez, Fevrier [1 ]
Castillo, Oscar [1 ]
机构：
[1] Tijuana Inst Technol, Tijuana, Mexico
来源：
COMPUTACION Y SISTEMAS | 2022年 / 26卷 / 02期
关键词：
Bioinspired algorithm; flower pollination algorithm; optimization; interval type-2 fuzzy logic; VAGUENESS; SEARCH;
D O I：
10.13053/CyS-26-2-4247
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
State-of-the-art algorithms are competitive, because they get the most out of available resources. Metaheuristic algorithms solve optimization problems from a search space. The proposal in this research work is to use the algorithm bio-inspired by nature Flower Pollination Algorithm (FPA) for the optimization of the membership functions of an Interval Type-2 Fuzzy Logic system, which we will call IT2FLS-FPA (Interval Type-2 Fuzzy Logic System-Flower Pollination Algorithm). This work is presented to continue with one that we developed before [6], in this investigation we made a comparison between a non-optimized IT2FLS-FPA and an optimized IT2FLS-FPA where we demonstrate that the latter is better by means of statistical hypothesis tests.
引用
收藏
页码：643 / 661
页数：19
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