Integration of genetic optimisation and neuro-fuzzy approximation in parametric engineering design

DOI10.1080/00207720802630628zbMath1160.93376OpenAlexW2076896205MaRDI QIDQ3626895

Kostas Saridakis, Argyris J. Dentsoras

Publication date: 14 May 2009

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

Full work available at URL: https://doi.org/10.1080/00207720802630628

zbMATH Keywords

parametric designelite solutionsgenetic optimisationneuro-fuzzy approximation

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Fuzzy control/observation systems (93C42) Application models in control theory (93C95)

Related Items (5)

Inductive linkage identification on building blocks of different sizes and types ⋮ A hybrid of electromagnetism-like mechanism and back-propagation algorithms for recurrent neural fuzzy systems design ⋮ Optimum synthesis of a four-bar mechanism using the modified bacterial foraging algorithm ⋮ Population sizing for inductive linkage identification ⋮ Preconditioning approaches related to canonical correlation by use of cyclic form

Cites Work

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• A survey of design rationale systems: Approaches, representation, capture and retrieval
• Merging fuzzy logic, neural networks, and genetic computation in the design of a decision-support system

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