A genetic algorithm approach to find the best regression/econometric model among the candidates

DOI10.1016/j.amc.2006.05.072zbMath1105.65306OpenAlexW2030989305MaRDI QIDQ864777

Seyed Taghi Akhavan Niaki, Hamed Hasheminia

Publication date: 13 February 2007

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

Full work available at URL: https://doi.org/10.1016/j.amc.2006.05.072

zbMATH Keywords

transformationgenetic algorithmoperations researchsearch techniquesregression/econometric models

Mathematics Subject Classification ID

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Cites Work

• Global optimization of statistical functions with simulated annealing
• Optimization by Simulated Annealing
• Identification of multivariate AR-models by threshold accepting
• Threshold accepting: A general purpose optimization algorithm appearing superior to simulated annealing
• Applications of optimization heuristics to estimation and modelling problems
• Construction of exact D-optimal designs by tabu search
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