2009
DOI: 10.1016/j.pnucene.2008.07.002
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Particle Swarm Optimization applied to the nuclear reload problem of a Pressurized Water Reactor

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Cited by 117 publications
(23 citation statements)
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“…Conversely, several metaheuristics or generic heuristic methods (Taillard et al, 2001) have been successfully investigated for application to the ICFMO such as Simulated Annealing (Kropaczek and Turinsky, 1991), Genetic Algorithms (GA; Poon and Parks, 1992;Chapot et al, 1999), Ant Colonies Optimization (ACO; Machado and Schirru, 2002), Population Based Incremental Learning (PBIL; Machado, 2005), Artificial Bee Colonies (ABC; de Oliveira and Schirru, 2011), and Particle Swarm Optimization (PSO; Meneses et al, 2009a).…”
Section: Introductionmentioning
confidence: 99%
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“…Conversely, several metaheuristics or generic heuristic methods (Taillard et al, 2001) have been successfully investigated for application to the ICFMO such as Simulated Annealing (Kropaczek and Turinsky, 1991), Genetic Algorithms (GA; Poon and Parks, 1992;Chapot et al, 1999), Ant Colonies Optimization (ACO; Machado and Schirru, 2002), Population Based Incremental Learning (PBIL; Machado, 2005), Artificial Bee Colonies (ABC; de Oliveira and Schirru, 2011), and Particle Swarm Optimization (PSO; Meneses et al, 2009a).…”
Section: Introductionmentioning
confidence: 99%
“…RECNOD is a nodal code based on the works described by Langenbuch et al (1977), Liu et al (1985), and Montagnini et al (1994), applied to optimization surveys in several works (e.g. Chapot et al, 1999;Meneses et al, 2009aMeneses et al, , 2010.…”
Section: Introductionmentioning
confidence: 99%
“…The ICFMO is a problem related to the optimization nuclear fuel utilization in a nuclear power plant (Meneses et al, 2009). It is a multi-objective problem, which their goals are generally to obtain the most energy production from a given set of fuel assemblies while staying within required operational and safety margins.…”
Section: Introductionmentioning
confidence: 99%
“…Several metaheuristics algorithm developed successfully have been extended to solve the ICFMO, such as harmony search (HS) (Nazari et al, 2013), Genetic Algorithm (GA) (Norouzi et al, 2011), Ant Colony Optimization (ACO) and Particle Swarm Optimization (POS) (Meneses et al, 2009;Khoshahval et al, 2010).…”
Section: Introductionmentioning
confidence: 99%
“…With the development of optimization methodology, it has been successfully applied to the fields of the nuclear reactor core fuel reloading (Silva and Schirru, 2011;Meneses et al, 2009;Waintraub et al, 2009), the optimization of thermodynamic efficiency and output power (Teyssedou et al, 2010), reactor core design (Waintraub et al, 2009), etc. The investigation of minimization component size has also attracted intense attention during recent years.…”
Section: Introductionmentioning
confidence: 99%