Designing Efficient Evolutionary Algorithms for Cluster Optimization: A Study on Locality

DOI10.1007/978-3-540-72960-0_11zbMath1211.90335OpenAlexW1567694153MaRDI QIDQ3509431

Jorge M. C. Marques, Jorge Tavares, Francisco B. Pereira, Tiago Leitão

Publication date: 1 July 2008

Published in: Natural Computing Series (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-540-72960-0_11

zbMATH Keywords

crossover operatormutation rateatom clustergenetic operatorlocality analysis

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (1)

Island models for cluster geometry optimization: how design options impact effectiveness and diversity

Uses Software

• L-BFGS

Cites Work

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• On the limited memory BFGS method for large scale optimization
• Correlated and uncorrelated fitness landscapes and how to tell the difference
• Global Optimization of Morse Clusters by Potential Energy Transformations

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