The role of crossover operator in the genetic optimization of magnetic models

DOI10.1016/j.amc.2011.04.025zbMath1219.78148OpenAlexW2083479614MaRDI QIDQ548016

Tomasz M. Gwizdałła

Publication date: 27 June 2011

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

Full work available at URL: https://doi.org/10.1016/j.amc.2011.04.025

zbMATH Keywords

global optimizationIsing modelcrossover operators

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Electro- and magnetostatics (78A30) Optimization problems in optics and electromagnetic theory (78M50) Neural and heuristic methods applied to problems in optics and electromagnetic theory (78M32)

Related Items (2)

The role of different genetic operators in the optimization of magnetic models ⋮ A single-machine bi-criterion scheduling problem with two agents

Uses Software

• Genocop

Cites Work

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• Comparing efficiencies of genetic crossover operators for one machine total weighted tardiness problem
• Thermodynamics of the Ising model in pair approximation
• Statistical mechanics, three-dimensionality and NP-completeness
• Particle swarm optimization combined with normative knowledge applied to Loney's solenoid design

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