Machine learning for global optimization

DOI10.1007/s10589-010-9330-xzbMath1243.90178OpenAlexW2157937859MaRDI QIDQ434171

Fabio Schoen, Marco Locatelli, D. Di Lorenzo, Andrea Cassioli, Marco Sciandrone

Publication date: 10 July 2012

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

Full work available at URL: https://doi.org/10.1007/s10589-010-9330-x

zbMATH Keywords

global optimizationsupport vector machinesmachine learningspace trajectory design

Mathematics Subject Classification ID

Nonconvex programming, global optimization (90C26) Learning and adaptive systems in artificial intelligence (68T05) Approximation methods and heuristics in mathematical programming (90C59)

Related Items

Using SVM to combine global heuristics for the standard quadratic problem, Local search based heuristics for global optimization: atomic clusters and beyond, Trajectory planning based on non-convex global optimization for serial manipulators, Multistart global optimization with tunnelling and an evolutionary strategy supervised by a martingale, Continuous trajectory planning based on learning optimization in high dimensional input space for serial manipulators, How can machine learning and optimization help each other better?, Optimization approaches to supervised classification, Clonal selection: an immunological algorithm for global optimization over continuous spaces, Global optimization based on local searches, Global optimization based on local searches

Uses Software

• PSwarm
• LIBSVM

Cites Work

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• Global optimization on funneling landscapes