10 search results - page 1 / 2 » Adaptively Choosing Neighbourhood Bests Using Species in a P... |
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
This paper proposes an improved particle swarm optimizer using the notion of species to determine its neighbourhood best values, for solving multimodal optimization problems. In th...
GECCO
2006
Springer
13 years 8 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...
CEC
2010
IEEE
13 years 6 months ago
2010
IEEE
This paper presents an updated version of the adaptive learning particle swarm optimizer (ALPSO) [6], we call it ALPSO-II. In order to improve the performance of ALPSO on multi-mod...
CEC
2009
IEEE
13 years 11 months ago
2009
IEEE
— Traditional particle swarm optimization (PSO) suffers from the premature convergence problem, which usually results in PSO being trapped in local optima. This paper presents an...
TSMC
2010
12 years 11 months ago
2010
In this paper, we propose two novel techniques, which successfully address several major problems in the field of particle swarm optimization (PSO) and promise a significant breakt...