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GECCO
2007
Springer
210views Optimization» more  GECCO 2007»
15 years 4 months ago
Markov chain models of bare-bones particle swarm optimizers
We apply a novel theoretical approach to better understand the behaviour of different types of bare-bones PSOs. It avoids many common but unrealistic assumptions often used in an...
Riccardo Poli, William B. Langdon
GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
15 years 4 months ago
A new evolutionary model for detecting multiple optima
Multimodal optimization problems consist in detecting all global and local optima of a problem. A new evolutionary approach to multimodal optimization called Roaming technique (RO...
Rodica Ioana Lung, D. Dumitrescu
GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
15 years 4 months ago
Guided hyperplane evolutionary algorithm
A new evolutionary technique for multicriteria optimization called Guiding Hyper-plane Evolutionary Algorithm (GHEA) is proposed. The originality of the approach consists in the f...
Corina Rotar, D. Dumitrescu, Rodica Ioana Lung
GECCO
2007
Springer
142views Optimization» more  GECCO 2007»
15 years 4 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 ...
Vinicius Veloso de Melo, Alexandre C. B. Delbem, D...
GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
15 years 4 months ago
A new collaborative evolutionary-swarm optimization technique
A new hybrid approach to optimization in dynamical environments called Collaborative Evolutionary-Swarm Optimization (CESO) is presented. CESO tracks moving optima in a dynamical ...
Rodica Ioana Lung, D. Dumitrescu