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CEC
2005
IEEE
13 years 11 months ago
Dynamic multi-swarm particle swarm optimizer with local search
—In this paper, the performance of dynamic multi-swarm particle swarm optimizer (DMS-PSO) on the set of benchmark functions provided for the CEC2008 Special Session on Large Scal...
Jing J. Liang, Ponnuthurai N. Suganthan
GECCO
2008
Springer
161views Optimization» more  GECCO 2008»
13 years 6 months ago
A new quantum behaved particle swarm optimization
This paper presents a variant of Quantum behaved Particle Swarm Optimization (QPSO) named Q-QPSO for solving global optimization problems. The Q-QPSO algorithm is based on the cha...
Millie Pant, Radha Thangaraj, Ajith Abraham
TEC
2012
234views Formal Methods» more  TEC 2012»
11 years 7 months ago
Cooperatively Coevolving Particle Swarms for Large Scale Optimization
—This paper presents a new cooperative coevolving particle swarm optimization (CCPSO) algorithm in an attempt to address the issue of scaling up particle swarm optimization (PSO)...
Xiaodong Li, Xin Yao
GECCO
2005
Springer
196views Optimization» more  GECCO 2005»
13 years 10 months ago
Breeding swarms: a new approach to recurrent neural network training
This paper shows that a novel hybrid algorithm, Breeding Swarms, performs equal to, or better than, Genetic Algorithms and Particle Swarm Optimizers when training recurrent neural...
Matthew Settles, Paul Nathan, Terence Soule
IJCSA
2007
130views more  IJCSA 2007»
13 years 5 months ago
Binary Particle Swarm Optimization Based Defensive Islanding Of Large Scale Power Systems
Power system defensive islanding is an efficient way to avoid catastrophic wide area blackouts, such as the 2003 North American Blackout. Finding defensive islands of large-scale ...
Wenxin Liu, Li Liu, David A. Cartes, Ganesh K. Ven...