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GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
15 years 3 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
76
Voted
CEC
2008
IEEE
15 years 4 months ago
On the usefulness of infeasible solutions in evolutionary search: A theoretical study
— Evolutionary algorithms (EAs) have been widely used in optimization, where infeasible solutions are often encountered. Some EAs regard infeasible solutions as useless individua...
Yang Yu, Zhi-Hua Zhou
EUSFLAT
2007
150views Fuzzy Logic» more  EUSFLAT 2007»
14 years 11 months ago
Competitive Self-adaptation in Evolutionary Algorithms
Heuristic search for the global minimum is studied. This paper is focused on the adaptation of control parameters in differential evolution (DE) and in controlled random search (...
Josef Tvrdík, Ivan Krivý
DILS
2008
Springer
14 years 11 months ago
Semi Supervised Spectral Clustering for Regulatory Module Discovery
We propose a novel semi-supervised clustering method for the task of gene regulatory module discovery. The technique uses data on dna binding as prior knowledge to guide the proces...
Alok Mishra, Duncan Gillies
ICALP
2003
Springer
15 years 2 months ago
Analysis of a Simple Evolutionary Algorithm for Minimization in Euclidean Spaces
Although evolutionary algorithms (EAs) are widely used in practical optimization, their theoretical analysis is still in its infancy. Up to now results on the (expected) runtime ar...
Jens Jägersküpper