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CEC
2009
IEEE
14 years 2 months ago
Particle Swarm CMA Evolution Strategy for the optimization of multi-funnel landscapes
— We extend the Evolution Strategy with Covariance Matrix Adaptation (CMA-ES) by collaborative concepts from Particle Swarm Optimization (PSO). The proposed Particle Swarm CMA-ES...
Christian L. Müller, Benedikt Baumgartner, Iv...
CEC
2008
IEEE
14 years 1 months ago
Solving dynamic multi-objective problems with vector evaluated particle swarm optimisation
— Many optimisation problems are multi-objective and change dynamically. Many methods use a weighted average approach to the multiple objectives. This paper introduces the usage ...
Mardé Greeff, Andries Petrus Engelbrecht
GECCO
2004
Springer
14 years 25 days ago
A Particle Swarm Model of Organizational Adaptation
This study introduces the particle swarm metaphor to the domain of organizational adaptation. A simulation model (OrgSwarm) is constructed to examine the impact of strategic inerti...
Anthony Brabazon, Arlindo Silva, Tiago Ferra de So...
CEC
2010
IEEE
13 years 6 months ago
A binary Particle Swarm Optimization approach to fault diagnosis in parallel and distributed systems
— The efficient diagnosis of hardware and software faults in parallel and distributed systems remains a challenge in today’s most prolific decentralized environments. System-...
Rafael Falcón, Marcio Almeida, Amiya Nayak
BMCBI
2006
146views more  BMCBI 2006»
13 years 7 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...