In this paper we describe the design of a fuzzy logic controller for the ball and beam system using a modified Ant Colony Optimization (ACO) method.
In this paper we describe the design of a fuzzy logic controller for the ball and beam system using a modified Ant Colony Optimization (ACO) method for ...
This study proposes machine learning strategies to control the parameter adaptation in ant colony optimization algorithm, the prominent swarm intelligence ...
TL;DR: This paper describes the design of a fuzzy logic controller for the ball and beam system using a modified Ant Colony Optimization method for ...
Fuzzy Controller Design for Ball and Beam System with an Improved Ant ...
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Abstract—In this paper, an improved ant colony optimization. (ACO) algorithm is proposed to enhance the performance of global optimum search.
Missing: partition | Show results with:partition
In this chapter we describe the methodology to design an optimized fuzzy logic controller for an autonomous mobile robot, using Ant Colony Optimization ...
We describe the use of Ant Colony Optimization (ACO) for the ball and beam control problem, in particular for the problem of tuning a fuzzy controller of ...
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New approach using ant colony optimization with ant set partition for fuzzy control design applied to the ball and beam system. O Castillo, E Lizárraga, J ...
Abstract: An Improved Ant Colony Optimization (IACO) is proposed to design A2-C1 type fuzzy logic system. (FLS) in the paper. The design includes parameters ...
This paper proposes an enhanced ant colony optimization with dynamic mutation and ad hoc initialization, ACODM-I, for improving the accuracy of Takagi-Sugeno- ...