The stochastic VRP differs from the VRP by the introduction of some element of variability within the system in question. A key difficulty in optimization under uncertainty is in dealing with an uncertainty space that is huge and frequently leads to a very large scale optimization models. Also many decisions, in real life problems are based on information which is both fuzzily imprecise and probabilistically uncertain. Therefore, it is necessary to develop routing and scheduling tools which could handle the uncertainty in every parameter. The main focus of this work is to investigate the variants of an uncertain VRP when general VRP solutions cause some violation when parameters are contaminated with perturbation. This work explores Genetic Algorithm with Fuzzy Logic, a rare but a promising combination, to discover some interesting results not only in single objective VRP but also in multi-objective stochastic VRP’s.This book is an attempt to ignite interest in researcher in the field of hard combinatorial optimization problems by introducing new strategies in which a multi-objective stochastic VRP can be effectively handled to give reliable multiple solutions and set of routes.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
The stochastic VRP differs from the VRP by the introduction of some element of variability within the system in question. A key difficulty in optimization under uncertainty is in dealing with an uncertainty space that is huge and frequently leads to a very large scale optimization models. Also many decisions, in real life problems are based on information which is both fuzzily imprecise and probabilistically uncertain. Therefore, it is necessary to develop routing and scheduling tools which could handle the uncertainty in every parameter. The main focus of this work is to investigate the variants of an uncertain VRP when general VRP solutions cause some violation when parameters are contaminated with perturbation. This work explores Genetic Algorithm with Fuzzy Logic, a rare but a promising combination, to discover some interesting results not only in single objective VRP but also in multi-objective stochastic VRP’s.This book is an attempt to ignite interest in researcher in the field of hard combinatorial optimization problems by introducing new strategies in which a multi-objective stochastic VRP can be effectively handled to give reliable multiple solutions and set of routes.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The stochastic VRP differs from the VRP by the introduction of some element of variability within the system in question. A key difficulty in optimization under uncertainty is in dealing with an uncertainty space that is huge and frequently leads to a very large scale optimization models. Also many decisions, in real life problems are based on information which is both fuzzily imprecise and probabilistically uncertain. Therefore, it is necessary to develop routing and scheduling tools which could handle the uncertainty in every parameter. The main focus of this work is to investigate the variants of an uncertain VRP when general VRP solutions cause some violation when parameters are contaminated with perturbation. This work explores Genetic Algorithm with Fuzzy Logic, a rare but a promising combination, to discover some interesting results not only in single objective VRP but also in multi-objective stochastic VRP s.This book is an attempt to ignite interest in researcher in the field of hard combinatorial optimization problems by introducing new strategies in which a multi-objective stochastic VRP can be effectively handled to give reliable multiple solutions and set of routes. 144 pp. Englisch. N° de réf. du vendeur 9783847322801
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gupta RadhaDr. Radha Gupta is a faculty of Mathematics at SET, Jain University, and Bangalore. She is specialized in OR and real time applications of Multi objective problems, fuzzy-genetic optimization and RST. She is a recipient of. N° de réf. du vendeur 5510002
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The stochastic VRP differs from the VRP by the introduction of some element of variability within the system in question. A key difficulty in optimization under uncertainty is in dealing with an uncertainty space that is huge and frequently leads to a very large scale optimization models. Also many decisions, in real life problems are based on information which is both fuzzily imprecise and probabilistically uncertain. Therefore, it is necessary to develop routing and scheduling tools which could handle the uncertainty in every parameter. The main focus of this work is to investigate the variants of an uncertain VRP when general VRP solutions cause some violation when parameters are contaminated with perturbation. This work explores Genetic Algorithm with Fuzzy Logic, a rare but a promising combination, to discover some interesting results not only in single objective VRP but also in multi-objective stochastic VRP's.This book is an attempt to ignite interest in researcher in the field of hard combinatorial optimization problems by introducing new strategies in which a multi-objective stochastic VRP can be effectively handled to give reliable multiple solutions and set of routes.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 144 pp. Englisch. N° de réf. du vendeur 9783847322801
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The stochastic VRP differs from the VRP by the introduction of some element of variability within the system in question. A key difficulty in optimization under uncertainty is in dealing with an uncertainty space that is huge and frequently leads to a very large scale optimization models. Also many decisions, in real life problems are based on information which is both fuzzily imprecise and probabilistically uncertain. Therefore, it is necessary to develop routing and scheduling tools which could handle the uncertainty in every parameter. The main focus of this work is to investigate the variants of an uncertain VRP when general VRP solutions cause some violation when parameters are contaminated with perturbation. This work explores Genetic Algorithm with Fuzzy Logic, a rare but a promising combination, to discover some interesting results not only in single objective VRP but also in multi-objective stochastic VRP s.This book is an attempt to ignite interest in researcher in the field of hard combinatorial optimization problems by introducing new strategies in which a multi-objective stochastic VRP can be effectively handled to give reliable multiple solutions and set of routes. N° de réf. du vendeur 9783847322801
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Taschenbuch. Etat : Neu. Uncertainty in Vehicle Routing Problems | Multiple Solutions through Fuzzy-Genetic approach | Radha Gupta | Taschenbuch | 144 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783847322801 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 106660127
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Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
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