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142
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KES
2006
Springer
15 years 2 months ago
Scheduling Jobs on Computational Grids Using Fuzzy Particle Swarm Algorithm
Abstract. Grid computing is a computing framework to meet the growing computational demands. This paper introduces a novel approach based on Particle Swarm Optimization (PSO) for s...
Ajith Abraham, Hongbo Liu, Weishi Zhang, Tae-Gyu C...
103
Voted
GECCO
2008
Springer
274views Optimization» more  GECCO 2008»
15 years 3 months ago
Bacterial foraging oriented by particle swarm optimization strategy for PID tuning
Proportional integral derivative (PID) controller tuning is an area of interest for researchers in many disciplines of science and engineering. This paper presents a new algorithm...
Wael Mansour Korani
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
15 years 8 months ago
Bayesian optimization models for particle swarms
We explore the use of information models as a guide for the development of single objective optimization algorithms, giving particular attention to the use of Bayesian models in a...
Christopher K. Monson, Kevin D. Seppi
115
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CEC
2009
IEEE
15 years 9 months ago
An adaptive learning particle swarm optimizer for function optimization
— 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...
Changhe Li, Shengxiang Yang
CEC
2008
IEEE
15 years 9 months ago
Asynchronous multiple objective particle swarm optimisation in unreliable distributed environments
Abstract— This paper examines the performance characteristics of both asynchronous and synchronous parallel particle swarm optimisation algorithms in heterogeneous, fault-prone e...
Ian Scriven, David Ireland, Andrew Lewis, Sanaz Mo...