231 search results - page 4 / 47 » Controlling Particle Swarm Optimization with Learned Paramet... |
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ICMLA
2004
14 years 11 months ago
2004
: The particle swarm is one of the most powerful methods for solving global optimization problems. This method is an adaptive algorithm based on social-psychological metaphor. A po...
CEC
2008
IEEE
15 years 4 months ago
2008
IEEE
— In this paper, we propose a novel approach to solve constrained optimization problems based on particle swarm optimization (PSO). First, an empirical comparison of the most pop...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
This paper presents a gregarious particle swarm optimization algorithm (G-PSO) in which the particles explore the search space by aggressively scouting the local minima with the h...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
Niching techniques play an important role in evolutionary algorithms. Existing niching methods often require userspecified parameters, limiting their usefulness. This paper propos...
GECCO
2004
Springer
15 years 2 months ago
2004
Springer
Abstract. This proof of concept study examines the possibility of specifying the construction of programs using a Particle Swarm algorithm, and represents a new form of automatic p...