Convergence guarantees for generalized adaptive stochastic search methods for continuous global optimization

DOI10.1016/j.ejor.2010.07.005zbMath1209.90295OpenAlexW2156906851MaRDI QIDQ613428

Rommel G. Regis

Publication date: 20 December 2010

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2010.07.005

zbMATH Keywords

evolutionary algorithmevolutionary programmingrandom search

Mathematics Subject Classification ID

Nonconvex programming, global optimization (90C26) Approximation methods and heuristics in mathematical programming (90C59)

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Uses Software

• Global Optimization Toolbox For Maple

Cites Work

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• Pure adaptive search in global optimization
• Global optimization requires global information
• Stochastic adaptive search for global optimization.
• Global optimization in action. Continuous and Lipschitz optimization: algorithms, implementations and applications
• Minimization by Random Search Techniques
• Multivariate stochastic approximation using a simultaneous perturbation gradient approximation
• Introduction to Stochastic Search and Optimization
• Global Random Optimization by Simultaneous Perturbation Stochastic Approximation
• Stochastic Estimation of the Maximum of a Regression Function
• Global optimization