Comparing simulated annealing and genetic algorithm in learning FCM

DOI10.1016/j.amc.2007.02.144zbMath1193.68210OpenAlexW1975702385WikidataQ62615235 ScholiaQ62615235MaRDI QIDQ990488

J. Martínez

Publication date: 1 September 2010

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2007.02.144

zbMATH Keywords

learningsimulated annealinggenetic algorithmfuzzy cognitive map (FCM)

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Approximation methods and heuristics in mathematical programming (90C59) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70)

Related Items (2)

A divide and conquer method for learning large fuzzy cognitive maps ⋮ On the use of differential evolution for forward kinematics of parallel manipulators

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