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» Multi-Objective Particle Swarm Optimizers: An Experimental C...
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CEC
2009
IEEE
14 years 3 months ago
A clustering particle swarm optimizer for dynamic optimization
Abstract—In the real world, many applications are nonstationary optimization problems. This requires that optimization algorithms need to not only find the global optimal soluti...
Changhe Li, Shengxiang Yang
CEC
2007
IEEE
14 years 2 months ago
Opposition-based particle swarm algorithm with cauchy mutation
—Particle Swarm Optimization (PSO) has shown its fast search speed in many complicated optimization and search problems. However, PSO could often easily fall into local optima. T...
Hui Wang, Hui Li, Yong Liu, Changhe Li, Sanyou Y. ...
CEC
2010
IEEE
13 years 7 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
ATAL
2006
Springer
14 years 9 days ago
Multi-robot learning with particle swarm optimization
We apply an adapted version of Particle Swarm Optimization to distributed unsupervised robotic learning in groups of robots with only local information. The performance of the lea...
Jim Pugh, Alcherio Martinoli
GECCO
2007
Springer
256views Optimization» more  GECCO 2007»
14 years 2 months ago
A particle swarm optimization approach for estimating parameter confidence regions
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
Praveen Koduru, Stephen Welch, Sanjoy Das