Neuro-Fuzzy Fitness in a Genetic Algorithm for Optimal Fuzzy Controller Design

被引：0
|
作者：
Castillo, Oscar [1 ]
Melendez, Abraham [1 ]
Melin, Patricia [1 ]
Astudillo, Leslie [1 ]
机构：
[1] Tijuana Inst Technol, Tijuana 22379, BC, Mexico
来源：
2013 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) | 2013年
关键词：
INTELLIGENT CONTROL;
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：
This paper describes an evolutionary genetic algorithm approach for the optimization of a fuzzy reactive controller applied to the design of a fuzzy controller for a mobile robot. The algorithm will optimize the fuzzy inference system evaluating the performance of each individual with a neuro-fuzzy fitness function that considers the robots covered distance, time used, battery life and the pattern of the trajectory.
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页数：5
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