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2007
Springer

Improving global numerical optimization using a search-space reduction algorithm

9 years 5 months ago
Improving global numerical optimization using a search-space reduction algorithm
We have developed an algorithm for reduction of search-space, called Domain Optimization Algorithm (DOA), applied to global optimization. This approach can efficiently eliminate search-space regions with low probability of containing a global optimum. DOA basically works using simple models for search-space regions to identify and eliminate non-promising regions. The proposed approach has shown relevant results for tests using hard benchmark functions. Categories and Subject Descriptors I.2.8 [Artificial Intelligence]: Problem Solving, Control Methods, Search-Heuristic methods General Terms Algorithms Keywords Search-space Reduction, Heuristics, Metaheuristics, Optimization
Vinicius Veloso de Melo, Alexandre C. B. Delbem, D
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where GECCO
Authors Vinicius Veloso de Melo, Alexandre C. B. Delbem, Dorival Leao Pinto Junior, Fernando Marques Federson
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