Abstract
An adaptive ant colony algorithm is proposed based on dynamically adjusting the strategy of updating trail information. The algorithm can keep good balance between accelerating convergence and averting precocity and stagnation. The results of function optimization show that the algorithm has good searching ability and high convergence speed. The algorithm is employed to design a neuro-fuzzy controller for real-time control of an inverted pendulum. In order to avoid the combinatorial explosion of fuzzy rules due to multivariable inputs, a state variable synthesis scheme is employed to reduce the number of fuzzy rules greatly. The simulation results show that the designed controller can control the inverted pendulum successfully.
Keywords
Inverted pendulumAnt colony optimization algorithmsConvergence (economics)Control theory (sociology)Controller (irrigation)Fuzzy logicComputer scienceFuzzy control systemMultivariable calculusAlgorithmMathematical optimizationMathematicsControl (management)EngineeringControl engineeringArtificial intelligenceNonlinear system
Affiliated Institutions
Related Publications
An Ant Colony System Hybridized with a New Local Search for the Sequential Ordering Problem
We present a new local optimizer called SOP-3-exchange for the sequential ordering problem that extends a local search for the traveling salesman problem to handle multiple cons...
Multivariable Feedback Control: Analysis and Design
From the Publisher: This is a book on practical feedback control and not on system theory in general. Feedback is used in control systems to change the dynamics of the system a...
Ant colony system: a cooperative learning approach to the traveling salesman problem
This paper introduces the ant colony system (ACS), a distributed algorithm that is applied to the traveling salesman problem (TSP). In the ACS, a set of cooperating agents calle...
Ant Algorithms for Discrete Optimization
This article presents an overview of recent work on ant algorithms, that is, algorithms for discrete optimization that took inspiration from the observation of ant colonies' for...
Ant system: optimization by a colony of cooperating agents
An analogy with the way ant colonies function has suggested the definition of a new computational paradigm, which we call ant system (AS). We propose it as a viable new approach...
Publication Info
- Year
- 2007
- Type
- article
- Volume
- 18
- Issue
- 3
- Pages
- 603-610
- Citations
- 41
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
41
OpenAlex
Cite This
Baojiang Zhao,
Shiyong Li
(2007).
Ant colony optimization algorithm and its application to Neuro-Fuzzy controller design.
Journal of Systems Engineering and Electronics
, 18
(3)
, 603-610.
https://doi.org/10.1016/s1004-4132(07)60135-2
Identifiers
- DOI
- 10.1016/s1004-4132(07)60135-2