Fuzzy systems design by clustering-aided ant colony optimization for plant control

DOI10.1080/03081070701288952zbMath1154.93386OpenAlexW2089029422MaRDI QIDQ3603670

Chia-Feng Juang, Chiang Lo

Publication date: 18 February 2009

Published in: International Journal of General Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03081070701288952

zbMATH Keywords

fuzzy controlswarm intelligenceant colony optimizationstructure learninggenetic fuzzy systemneural fuzzy systems

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Approximation methods and heuristics in mathematical programming (90C59) Fuzzy control/observation systems (93C42)

Cites Work

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• A three-stage evolutionary process for learning descriptive and approximate fuzzy-logic-controller knowledge bases from examples.
• Temporal problems solved by dynamic fuzzy network based on genetic algorithm with variable-length chromosomes.
• Learning cooperative linguistic fuzzy rules using the best-worst ant system algorithm
• Genetic Fuzzy Systems

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