Parallel hybrid algorithm for global optimization of problems occurring in MDS-based visualization

DOI10.1016/j.camwa.2006.08.016zbMath1157.90533OpenAlexW2048071335MaRDI QIDQ2426018

Julius Žilinskas, Antanas Žilinskas

Publication date: 17 April 2008

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2006.08.016

zbMATH Keywords

global optimizationmetaheuristicsparallel algorithmsmultidimensional scaling

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Nonlinear programming (90C30) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (7)

Selection of a covariance function for a Gaussian random field aimed for modeling global optimization problems ⋮ GOSH: derivative-free global optimization using multi-dimensional space-filling curves ⋮ Parallel branch and bound for multidimensional scaling with city-block distances ⋮ A hybrid method for multidimensional scaling using city-block distances ⋮ Parallel Global Optimization in Multidimensional Scaling ⋮ Multi-objective optimization and decision visualization of batch stirred tank reactor based on spherical catalyst particles ⋮ Branch and bound algorithm for multidimensional scaling with city-block metric

Cites Work

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• The Solution of the Metric STRESS and SSTRESS Problems in Multidimensional Scaling Using Newtons Method
• On global optimization in two-dimensional scaling
• Modern multidimensional scaling: theory and applications
• A simulated annealing heuristic for unidimensional and multidimensional (city-block) scaling of symmetric proximity matrices.
• Two level minimization in multidimensional scaling
• Global optimization

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