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Heuristic Rules In Genetic Algorithm For Fuel Management Optimization - Fatih Alim
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Fatih Alim:
Heuristic Rules In Genetic Algorithm For Fuel Management Optimization - gebrauchtes Buch

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The objective of this study was to develop a uniquemethodology and a practical tool for designingloading pattern (LP) and burnable poison (BP)pattern for a given Pressurized Water Reactor (PWR)core. Because of the large number of possiblecombinations for the fuel assembly (FA) loading inthe core, the design of the core configuration is acomplex optimization problem. It requires finding anoptimal FA arrangement and BP placement in order toachieve maximum cycle length while satisfying thesafety The objective of this study was to develop a uniquemethodology and a practical tool for designingloading pattern (LP) and burnable poison (BP)pattern for a given Pressurized Water Reactor (PWR)core. Because of the large number of possiblecombinations for the fuel assembly (FA) loading inthe core, the design of the core configuration is acomplex optimization problem. It requires finding anoptimal FA arrangement and BP placement in order toachieve maximum cycle length while satisfying thesafety constraints. To solve this optimizationproblem, a LP optimization package, GARCO (GeneticAlgorithm Reactor Code Optimization) code isdeveloped. This code is applicable for all types ofPWR cores having different geometries and structureswith an unlimited number of FA types in theinventory. To reach this goal, an innovative GA isdeveloped by modifying the classical representationof the genotype. To obtain the best result in ashorter time, not only the representation is changedbut also the algorithm is changed to use in-corefuel management heuristics rules. The improved GAcode was tested to demonstrate and verify theadvantages of the new enhancements. Textbooks New, Books~~Science~~Physics~~Nuclear, Heuristic-Rules-In-Genetic-Algorithm-For-Fuel-Management-Optimization~~Fatih-Alim, 999999999, Heuristic Rules In Genetic Algorithm For Fuel Management Optimization, Fatih Alim, 3639143582, VDM Verlag, , , , , VDM Verlag

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HEURISTIC RULES IN GENETIC ALGORITHM FOR FUEL MANAGEMENT OPTIMIZATION - Fatih Alim
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The objective of this study was to develop a uniquemethodology and a practical tool for designingloading pattern (LP) and burnable poison (BP)pattern for a given Pressurized Water Reactor (PWR)core. Because of the large number of possiblecombinations for the fuel assembly (FA) loading inthe core, the design of the core configuration is acomplex optimization problem. It requires finding anoptimal FA arrangement and BP placement in order toachieve maximum cycle length while satisfying thesafety constraints. To solve this optimizationproblem, a LP optimization package, GARCO (GeneticAlgorithm Reactor Code Optimization) code isdeveloped. This code is applicable for all types ofPWR cores having different geometries and structureswith an unlimited number of FA types in theinventory. To reach this goal, an innovative GA isdeveloped by modifying the classical representationof the genotype. To obtain the best result in ashorter time, not only the representation is changedbut also the algorithm is changed to use in-corefuel management heuristics rules. The improved GAcode was tested to demonstrate and verify theadvantages of the new enhancements. Bücher / Naturwissenschaften, Medizin, Informatik & Technik / Physik & Astronomie / Atom- & Kernphysik, [PU: VDM Verlag Dr. Müller, Saarbrücken]

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HEURISTIC RULES IN GENETIC ALGORITHM FOR FUELMANAGEMENT OPTIMIZATION - Fatih Alim
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HEURISTIC RULES IN GENETIC ALGORITHM FOR FUELMANAGEMENT OPTIMIZATION - Taschenbuch

2009, ISBN: 3639143582

ID: 20006517018

[EAN: 9783639143584], Neubuch, [PU: VDM Verlag Apr 2009], Science|Nuclear Physics, Neuware - 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. 296 pp. Englisch

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HEURISTIC RULES IN GENETIC ALGORITHM FOR FUELMANAGEMENT OPTIMIZATION - Fatih Alim
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Fatih Alim:
HEURISTIC RULES IN GENETIC ALGORITHM FOR FUELMANAGEMENT OPTIMIZATION - Taschenbuch

ISBN: 9783639143584

[ED: Taschenbuch], [PU: VDM Verlag], Neuware - 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., [SC: 0.00], Neuware, gewerbliches Angebot, 220x150x18 mm, [GW: 457g]

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HEURISTIC RULES IN GENETIC ALGORITHM FOR FUELMANAGEMENT OPTIMIZATION - Alim, Fatih
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Alim, Fatih:
HEURISTIC RULES IN GENETIC ALGORITHM FOR FUELMANAGEMENT OPTIMIZATION - Taschenbuch

2009, ISBN: 9783639143584

[ED: Softcover], [PU: Vdm Verlag Dr. Müller], The objective of this study was to develop a uniquemethodology and a practical tool for designingloading pattern (LP) and burnable poison (BP)pattern for a given Pressurized Water Reactor (PWR)core. Because of the large number of possiblecombinations for the fuel assembly (FA) loading inthe core, the design of the core configuration is acomplex optimization problem. It requires finding anoptimal FA arrangement and BP placement in order toachieve maximum cycle length while satisfying thesafety constraints. To solve this optimizationproblem, a LP optimization package, GARCO (GeneticAlgorithm Reactor Code Optimization) code isdeveloped. This code is applicable for all types ofPWR cores having different geometries and structureswith an unlimited number of FA types in theinventory. To reach this goal, an innovative GA isdeveloped by modifying the classical representationof the genotype. To obtain the best result in ashorter time, not only the representation is changedbut also the algorithm is changed to use in-corefuel management heuristics rules. The improved GAcode was tested to demonstrate and verify theadvantages of the new enhancements.2009. 296 S.Versandfertig in 3-5 Tagen, [SC: 0.00]

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HEURISTIC RULES IN GENETIC ALGORITHM FOR FUELMANAGEMENT OPTIMIZATION
Autor:

Alim, Fatih

Titel:

HEURISTIC RULES IN GENETIC ALGORITHM FOR FUELMANAGEMENT OPTIMIZATION

ISBN-Nummer:

Detailangaben zum Buch - HEURISTIC RULES IN GENETIC ALGORITHM FOR FUELMANAGEMENT OPTIMIZATION


EAN (ISBN-13): 9783639143584
ISBN (ISBN-10): 3639143582
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2009
Herausgeber: VDM Verlag
296 Seiten
Gewicht: 0,457 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 25.11.2009 18:01:59
Buch zuletzt gefunden am 09.04.2017 12:58:36
ISBN/EAN: 3639143582

ISBN - alternative Schreibweisen:
3-639-14358-2, 978-3-639-14358-4


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