433 search results - page 13 / 87 » Dynamic-probabilistic particle swarms |
TSMC
2010
13 years 2 months ago
2010
In recent years, there has been a growing interest in the study of particle swarm optimization (PSO) in dynamic environments. This paper presents a new PSO model, called PSO with c...
EVOW
2007
Springer
14 years 1 months ago
2007
Springer
In recent years, there has been an increasing concern from the evolutionary computation community on dynamic optimization problems since many real-world optimization problems are t...
GECCO
2006
Springer
13 years 11 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...
ESCIENCE
2006
IEEE
14 years 1 months ago
2006
IEEE
This paper presents quantitative comparison of the performance of different methods for selecting the guide particle for multi-objective particle swarm optimization (MOPSO). Two p...
CEC
2007
IEEE
14 years 2 months ago
2007
IEEE
— Particle swarm optimization (PSO) is a stochastic global optimization algorithm inspired by social behavior of bird flocking in search for food, which is a simple but powerful...