Kniha Heuristic Rules in Genetic Algorithm for Fuel Management Optimization Fatih Alim

Heuristic Rules in Genetic Algorithm for Fuel Management Optimization

Autor: Fatih Alim
Jazyk: Angličtina
Väzba: Brožovaná
Vydavateľ: VDM Verlag
Dostupnosť: U vydavateľa na objednávku
Odosielame za 17-27 dní
77.60
The objective of this study was to develop a unique§methodology and a practical tool for designing§l...

Informácie o knihe

Autor
Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2009
Stránok
296
EAN
9783639143584
ISBN
3639143582
Enbook ID
06822963
Vydavateľ
Hmotnosť
435
Rozmery
152 x 229 x 17

Kompletný popis

The objective of this study was to develop a unique§methodology and a practical tool for designing§loading pattern (LP) and burnable poison (BP)§pattern for a given Pressurized Water Reactor (PWR)§core. Because of the large number of possible§combinations for the fuel assembly (FA) loading in§the core, the design of the core configuration is a§complex optimization problem. It requires finding an§optimal FA arrangement and BP placement in order to§achieve maximum cycle length while satisfying the§safety constraints. To solve this optimization§problem, a LP optimization package, GARCO (Genetic§Algorithm Reactor Code Optimization) code is§developed. This code is applicable for all types of§PWR cores having different geometries and structures§with an unlimited number of FA types in the§inventory. To reach this goal, an innovative GA is§developed by modifying the classical representation§of the genotype. To obtain the best result in a§shorter time, not only the representation is changed§but also the algorithm is changed to use in-core§fuel management heuristics rules. The improved GA§code was tested to demonstrate and verify the§advantages of the new enhancements.

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