An experimental analysis of a population based approach for global optimization

DOI10.1007/s10589-007-9026-zzbMath1170.90474OpenAlexW2062625149MaRDI QIDQ2477011

Fabio Schoen, Marco Locatelli, Andrea Grosso

Publication date: 12 March 2008

Published in: Computational Optimization and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10589-007-9026-z

zbMATH Keywords

Global optimizationDissimilarity measuresPopulation based approaches

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (3)

Solving molecular distance geometry problems by global optimization algorithms ⋮ Dissimilarity measures for population-based global optimization algorithms ⋮ A population-based approach for hard global optimization problems based on dissimilarity measures

Uses Software

• Tabu search

Cites Work

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• A population-based approach for hard global optimization problems based on dissimilarity measures
• On the multilevel structure of global optimization problems
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• Global Optimization of Morse Clusters by Potential Energy Transformations
• Taboo Search: An Approach to the Multiple Minima Problem
• Global optimization on funneling landscapes
• Hesitant adaptive search: The distribution of the number of iterations to convergence

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