Open AccessJournal Article
Integrating Fuzzy Logic and Genetic Algorithms for Intelligent Control and Obstacle Avoidance
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This article is published in Journal of Complexity.The article was published on 1995-01-01 and is currently open access. It has received 11 citations till now. The article focuses on the topics: Obstacle avoidance & Collision avoidance.read more
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Journal ArticleDOI
Integrated fuzzy logic and genetic algorithms for multi-objective control of structures using MR dampers
Gang Yan,Lily L. Zhou +1 more
TL;DR: This study presents a design strategy based on genetic algorithms (GA) for semi-active fuzzy control of structures that have magnetorheological dampers installed to prevent damage from severe dynamic loads such as earthquakes.
Journal ArticleDOI
A genetic fuzzy system to model pedestrian walking path in a built environment
TL;DR: Analysis and statistical measurement of the results indicate that the genetic fuzzy system with optimised membership functions produces more accurate and stable prediction of heterogeneous pedestrians’ walking trajectories than those from the original fuzzy model.
Proceedings ArticleDOI
Optimization of interval type-2 fuzzy logic controller using quantum genetic algorithms
TL;DR: A Type-2 Fuzzy logic controller adapted with quantum genetic algorithm, referred to as type-2 quantum fuzzy logic controller (T2QFLC), is presented in this article for robot manipulators with unstructured dynamical uncertainties.
Journal ArticleDOI
Simple strategies for collision-avoidance in robot soccer
TL;DR: Simple strategies for the problems of collision-avoidance in the robot soccer competition are examined to enable computationally efficient code to be written for implementation on the micro-robot.
Journal ArticleDOI
Path planning of mobile robot with neuro-genetic-fuzzy technique in static environment
TL;DR: This paper presents a technique of path planning of a mobile robot using artificial neural network, fuzzy logic and genetic algorithm that is computationally efficient by helping each other to eliminate their individual limitations.