A fuzzy-based lifetime extension of genetic algorithms

DOI10.1016/j.fss.2004.07.011zbMath1085.68128OpenAlexW1981824321MaRDI QIDQ703360

Mark Last, Shay Eyal

Publication date: 11 January 2005

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.fss.2004.07.011

zbMATH Keywords

Genetic algorithmsOptimizationFuzzy logicAdaptive fuzzy controlFuzzy genetic algorithmsFuzzy rule-based systems

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Reasoning under uncertainty in the context of artificial intelligence (68T37) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (4)

Two-warehouse production inventory model for a deteriorating item with time-varying demand and shortages: a genetic algorithm with varying population size approach ⋮ A fuzzy genetic algorithm with varying population size to solve an inventory model with credit-linked promotional demand in an imprecise planning horizon ⋮ A partial backlogging inventory model for deteriorating item under fuzzy inflation and discounting over random planning horizon: a fuzzy genetic algorithm approach ⋮ On fuzzy type-1 and type-2 stochastic ordinary and partial differential equations and numerical solution

Uses Software

• Genocop

Cites Work

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