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» Competitive Self-adaptation in Evolutionary Algorithms
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CEC
2008
IEEE
13 years 12 months ago
Evolutionary Multi-objective Simulated Annealing with adaptive and competitive search direction
— In this paper, we propose a population-based implementation of simulated annealing to tackle multi-objective optimisation problems, in particular those of combinatorial nature....
Hui Li, Dario Landa Silva
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
13 years 11 months ago
The blob code is competitive with edge-sets in genetic algorithms for the minimum routing cost spanning tree problem
Among the many codings of spanning trees for evolutionary search are those based on bijections between Pr¨ufer strings—strings of n−2 vertex labels—and spanning trees on th...
Bryant A. Julstrom
IMCSIT
2010
13 years 3 months ago
Enhanced Competitive Differential Evolution for Constrained Optimization
Abstract--The constrained optimization with differential evolution (DE) is addressed. A novel variant of competitive differential evolution with a hybridized search of feasibility ...
Josef Tvrdík, Radka Polakova
CEC
2009
IEEE
14 years 7 days ago
Differential Evolution with Laplace mutation operator
— Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ra...
Millie Pant, Radha Thangaraj, Ajith Abraham, Crina...
NCI
2003
107views Neural Networks» more  NCI 2003»
13 years 6 months ago
Sexual Selection with Competitive/Co-operative Operators for Genetic Algorithms
In a standard genetic algorithm (GA), individuals reproduce asexually: any two organisms may be parents in crossover. Gender separation and sexual selection here inspire a model o...
Jose Sánchez-Velazco, John A. Bullinaria