Parallel Evolutionary Methods Applied to a PWR Core Reload Pattern Optimization

Automated core design code development for a lead‐cooled fast reactor and its core optimization

“…Due to the high complexity, nonlinearity, multi‐objective, and, especially, the scarcity of knowledge about the search domain of most problems involved in core optimization, some non‐linear optimization algorithms continued to emerge in the past several years, for example, genetic algorithm (GA), 6 simulated annealing algorithm (SA), 7 population‐based incremental learning (PBIL) algorithm, 8 ant colony system (ACS), 9 etc., which have strong adaptability to systems with strong mutual coupling between components. Many scholars have applied these algorithms to the optimization problems of nuclear reactors, including fuel management optimization, 10‐12 core layout, and structure optimization, 13,14 fuel enrichment and materials optimization, 15 etc.…”

Pattern optimization of PWR reactor using hybrid parallel Artificial Bee Colony

“…Several algorithms have been developed and successfully applied to optimize reactor core loading problem such as Dynamic Programming (Wall and Fenech, 1965), direct search (Stout, 1973), Variational Techniques (Terney and Williamson, 1982), Backward Diffusion Calculation (Chao et al, 1986), Reverse Depletion (Downar and Kim, 1986;Kim et al, 1987), Linear Programming (Stillman et al, 1989), Simulated Annealing (Stevens, 1995), Ant Colony algorithm (Schirru et al, 2006), Safarzadeh et al (2011) applied ABC algorithm to power flattening of PWR reactor, continuous Genetic Algorithm (GA) introduced for flatting power distribution (Zolfaghari et al, 2009;Norouzi et al, 2011), discrete PSO (Babazadeh et al, 2009), continuous PSO (Khoshahval et al, 2010), Mohseni et al used GA in multi-objective optimization of lowering power peaking factor, maximization of the effective multiplication factor (Mohseni et al, 2008), Cellular Automata for maximizing initial excess reactivity and minimizing power peaking factor , Perturbation Theory (Stacey, 1974;Hosseini and Vosoughi, 2012), ArtificialIntelligence techniques like Artificial Neural Networks (ANNs) (Sadighi et al, 2002), and combination of fuzzy logic and ANN (Kim et al, 1993) are the ones most commonly used in core fuel management. A further study based on hybrid algorithms was performed (Stevens, 1995;Erdog and Geçkinli, 2003;).…”

Computação evolucionária aplicada ao problema da recarga de reatores nucleares

“…Arrefecimento Simulado (Kropaczek & Turinsky, 1991), Busca Tabu (Lin et al, 1998), Algoritmos Genéticos (Chapot et al, 1999), Aprendizado Incremental Baseado em Populações (Schirru et al, 2006), Otimização com Colônia de Formigas (de Lima et al, 2008), Otimização com Colônia de…”