TY - GEN
T1 - A simple distributed particle swarm optimization for dynamic and noisy environments
AU - Cui, Xiaohui
AU - St. Charles, Jesse
AU - Potok, Thomas E.
PY - 2009
Y1 - 2009
N2 - In this paper, we present a Simple Distributed Particle Swarm Optimization (SDPSO) algorithm that can be used to track the optimal solution in a dynamic and noisy environment. The classic PSO algorithm lacks the ability to track changing optimum in a dynamic environment. Several approaches have been investigated to enhance the PSO algorithm's ability in dynamic environments. However, in dealing with dynamic environments, these approaches have lost PSO's original strengths of decentralized control and ease of implementation. The SDPSO algorithm proposed in this paper maintains these classic PSO features as well as provides the optimum result tracking capability in dynamic environments. In this research, the DF1 multimodal dynamic environment generator proposed by Morrison and De Jong is used to evaluate the classic PSO, SDPSO and other two adaptive PSOs.
AB - In this paper, we present a Simple Distributed Particle Swarm Optimization (SDPSO) algorithm that can be used to track the optimal solution in a dynamic and noisy environment. The classic PSO algorithm lacks the ability to track changing optimum in a dynamic environment. Several approaches have been investigated to enhance the PSO algorithm's ability in dynamic environments. However, in dealing with dynamic environments, these approaches have lost PSO's original strengths of decentralized control and ease of implementation. The SDPSO algorithm proposed in this paper maintains these classic PSO features as well as provides the optimum result tracking capability in dynamic environments. In this research, the DF1 multimodal dynamic environment generator proposed by Morrison and De Jong is used to evaluate the classic PSO, SDPSO and other two adaptive PSOs.
UR - http://www.scopus.com/inward/record.url?scp=70349982092&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-03211-0_8
DO - 10.1007/978-3-642-03211-0_8
M3 - Conference contribution
AN - SCOPUS:70349982092
SN - 9783642032103
T3 - Studies in Computational Intelligence
SP - 89
EP - 102
BT - Nature Inspired Cooperative Strategies for Optimization (NICSO 2008)
A2 - Natalio, Krasnogor
A2 - Melian Batista, Maria Belen
A2 - Moreno Perez, Jose Andres
A2 - Moreno-Vega, J. Marcos
A2 - Pelta, David Alejandro
ER -