A new hybrid genetic algorithm for global optimization

DOI10.1016/S0362-546X(96)00367-7zbMath0891.68046OpenAlexW2092339921WikidataQ127124699 ScholiaQ127124699MaRDI QIDQ4378896

Elias C. Stavropoulos, D. G. Sotiropoulos, Michael N. Vrahatis

Publication date: 19 July 1998

Published in: Nonlinear Analysis: Theory, Methods & Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0362-546x(96)00367-7

zbMATH Keywords

hybrid genetic algorithmglobal optimization problems

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Parallel algorithms in computer science (68W10)

Related Items (3)

A filled function method applied to nonsmooth constrained global optimization ⋮ Combining interval branch and bound and stochastic search ⋮ A Measurement-Based Approach for Designing Fixed-Order Controllers for Unknown Closed-Loop Architecture

Uses Software

• Genocop

Cites Work

• Interval tools for global optimization
• Derived eigenvalues of symmetric matrices, with applications to distance geometry
• Genetic algorithms and very fast simulated reannealing: A comparison
• On the selection of subdivision directions in interval branch-and-bound methods for global optimization
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