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GECCO
2005
Springer
228views Optimization» more  GECCO 2005»
15 years 3 months ago
An effective use of crowding distance in multiobjective particle swarm optimization
In this paper, we present an approach that extends the Particle Swarm Optimization (PSO) algorithm to handle multiobjective optimization problems by incorporating the mechanism of...
Carlo R. Raquel, Prospero C. Naval Jr.
GECCO
2005
Springer
196views Optimization» more  GECCO 2005»
15 years 3 months ago
Breeding swarms: a new approach to recurrent neural network training
This paper shows that a novel hybrid algorithm, Breeding Swarms, performs equal to, or better than, Genetic Algorithms and Particle Swarm Optimizers when training recurrent neural...
Matthew Settles, Paul Nathan, Terence Soule
GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
15 years 3 months ago
Fitness-based neighbor selection for multimodal function optimization
We propose a selection scheme called Fitness-based Neighbor Selection (FNS) for multimodal optimization. The FNS is aimed for ill-scaled and locally multimodal domain, both found ...
Shin Ando, Shigenobu Kobayashi
GECCO
2005
Springer
117views Optimization» more  GECCO 2005»
15 years 3 months ago
Directional self-learning of genetic algorithm
In order to overcome the low convergence speed and prematurity of classical genetic algorithm, an improved method named directional self-learning of genetic algorithm (DSLGA) is p...
Lin Cong, Yuheng Sha, Licheng Jiao, Fang Liu
GECCO
2005
Springer
15 years 3 months ago
Evolving agent swarms for clustering and sorting
Social insect societies consist of individuals with simple behavior, yet at the collective level the societies are capable of solving complex tasks. These tasks span a wide range,...
Vegard Hartmann