Evolutionary computation techniques for nonlinear programming problems

DOI10.1016/0969-6016(94)90022-1zbMath0854.90129OpenAlexW1976345770MaRDI QIDQ4888232

Zbigniew Michalewicz

Publication date: 28 July 1996

Published in: International Transactions in Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0969-6016(94)90022-1

zbMATH Keywords

genetic algorithmevolutionary computationrandom algorithmhybrid optimization

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonlinear programming (90C30)

Related Items (8)

Metaheuristics: A bibliography ⋮ Optimizing radial basis functions by d.c. programming and its use in direct search for global derivative-free optimization ⋮ Optimization and analysis of three-part tariff pricing strategies ⋮ Supply chain network design with efficiency, location, and inventory policy using a multiobjective evolutionary algorithm ⋮ A chaos-based evolutionary algorithm for general nonlinear programming problems ⋮ A hybrid genetic fuzzy neural network algorithm designed for classification problems involving several groups ⋮ Integration of the Genetic Algorithm and Discrete-Event Computer Simulation for Decision Support ⋮ Genetic modelling of multivariate EGARCHX-processes: evidence on the international asset return signal response mechanism

Uses Software

• Genocop

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