A hybrid neural-genetic algorithm for the frequency assignment problem in satellite communications

DOI10.1007/S10791-005-6619-YzbMath1086.90503OpenAlexW2052151376MaRDI QIDQ816668

Carlos Bousoño-Calzón, Sancho Salcedo-Sanz

Publication date: 23 February 2006

Published in: Applied Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10791-005-6619-y

zbMATH Keywords

Hopfield neural network

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Communication networks in operations research (90B18) Communication theory (94A05)

Related Items (3)

A survey of repair methods used as constraint handling techniques in evolutionary algorithms ⋮ Minimizing interference in satellite communications using transiently chaotic neural networks ⋮ Frequency assignment problem in satellite communications using differential evolution

Uses Software

• CALMA

Cites Work

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• New evolutionary genetic algorithms for NP-complete combinatorial optimization problems
• Models and solution techniques for frequency assignment problems

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