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GECCO
2006
Springer
153views Optimization» more  GECCO 2006»
13 years 11 months ago
On the local performance of simulated annealing and the (1+1) evolutionary algorithm
Simulated annealing and the (1+1) EA, a simple evolutionary algorithm, are both general randomized search heuristics that optimize any objective function with probability
Thomas Jansen, Ingo Wegener
CEC
2010
IEEE
13 years 7 months ago
The differential Ant-Stigmergy Algorithm for large-scale global optimization
— Ant-colony optimization (ACO) is a popular swarm intelligence metaheuristic scheme that can be applied to almost any optimization problem. In this paper, we address a performan...
Peter Korosec, Katerina Taskova, Jurij Silc
GECCO
2006
Springer
134views Optimization» more  GECCO 2006»
13 years 11 months ago
Incorporating directional information within a differential evolution algorithm for multi-objective optimization
The field of Differential Evolution (DE) has demonstrated important advantages in single objective optimization. To date, no previous research has explored how the unique characte...
Antony W. Iorio, Xiaodong Li
GECCO
2008
Springer
101views Optimization» more  GECCO 2008»
13 years 8 months ago
Technical market indicators optimization using evolutionary algorithms
Pablo Fernández-Blanco, Diego J. Bodas-Sagi...