Probabilistic adaptations of point generation schemes in some global optimization algorithms

DOI10.1080/10556780500094671zbMath1136.90440OpenAlexW2044542231WikidataQ57932095 ScholiaQ57932095MaRDI QIDQ5475278

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Publication date: 16 June 2006

Published in: Optimization Methods and Software (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10556780500094671

zbMATH Keywords

global optimizationcontinuous variableprobabilistic adaptationmodified differential evolutionmodified controlled random searchpopulation set based method

Mathematics Subject Classification ID

Nonconvex programming, global optimization (90C26) Derivative-free methods and methods using generalized derivatives (90C56)

Related Items (3)

Differential Evolution Via Exploiting Opposite Populations ⋮ Differential evolution algorithms using hybrid mutation ⋮ Self-adaptive randomized and rank-based differential evolution for multimodal problems

Uses Software

• Genocop

Cites Work

• Unnamed Item
• Global optimization algorithms for a CAD workstation
• Global optimization by controlled random search
• Optimization technique based on learning automata
• Stochastic global optimization: Problem classes and solution techniques
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• A numerical comparison of some modified controlled random search algorithms
• Population set-based global optimization algorithms: some modifications and numerical studies
• A controlled random search procedure for global optimisation
• Modified controlled random search algorithms
• Stochastic dynamics of reinforcement learning
• A Simplex Method for Function Minimization

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