Improving global numerical optimization using a search-space reduction algorithm
Vinícius Veloso de Melo, Alexandre C. B. Delbem, Dorival Leão Pinto Júnior, Fernando Marques Federson · 2007
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 worksusing 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.