ziauddin ursani (6 resultados)

Taschenbuch. Condición: Neu. Localized Genetic Algorithm for the Vehicle Routing Problem | Standardization of Divide and Conquer Strategies, Computational Comparison Rules and Complexity Estimation | Ziauddin Ursani | Taschenbuch | 328 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838368078 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book identifies some problems, the genetic algorithm GA is facing in the area of vehicle routing problem VRP and proposes various methods to address those problems. Those problems arise from unavailability of suitable chromosomal representation and evaluation schemes of the GA for the VRP. They have problems of high computational cost, illegal chromosomes and wrong fitness assignment. These problems are addressed by several new proposed schemes namely Self Imposed Constraints evaluation scheme, Contour and Reverse Contour evaluation scheme and Order Skiping evaluation scheme, which are specifically tailored for various problems, objectives and situations. Apart from this Localized Optimization Framework is introduced,which standardizes divide and conquer strategies. Genetic Algorithm is used in this framework to be called as Localized Genetic Algorithm. Lastly, a standard unit for computational comparison i.e., Bellman's Evaluation Units BEUs, is also introduced to facilitate computational comparisons for future researchers. Furthermore computational complexity estimation is also modelled to estimate computational time without actual experimentation. 328 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ursani ZiauddinZiauddin Ursani, BE-Civil, PGD-Env: MUET Sindh Pak, MS-IT: HU Sindh Pak, PhD-CS: School of Engineering and Information Technology, Australian Defence Force Academy, University of New South Wales, Post Doctoral Resea.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book identifies some problems, the genetic algorithm GA is facing in the area of vehicle routing problem VRP and proposes various methods to address those problems. Those problems arise from unavailability of suitable chromosomal representation and evaluation schemes of the GA for the VRP. They have problems of high computational cost, illegal chromosomes and wrong fitness assignment. These problems are addressed by several new proposed schemes namely Self Imposed Constraints evaluation scheme, Contour and Reverse Contour evaluation scheme and Order Skiping evaluation scheme, which are specifically tailored for various problems, objectives and situations. Apart from this Localized Optimization Framework is introduced,which standardizes divide and conquer strategies. Genetic Algorithm is used in this framework to be called as Localized Genetic Algorithm. Lastly, a standard unit for computational comparison i.e., Bellman''s Evaluation Units BEUs, is also introduced to facilitate computational comparisons for future researchers. Furthermore computational complexity estimation is also modelled to estimate computational time without actual experimentation.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 328 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book identifies some problems, the genetic algorithm GA is facing in the area of vehicle routing problem VRP and proposes various methods to address those problems. Those problems arise from unavailability of suitable chromosomal representation and evaluation schemes of the GA for the VRP. They have problems of high computational cost, illegal chromosomes and wrong fitness assignment. These problems are addressed by several new proposed schemes namely Self Imposed Constraints evaluation scheme, Contour and Reverse Contour evaluation scheme and Order Skiping evaluation scheme, which are specifically tailored for various problems, objectives and situations. Apart from this Localized Optimization Framework is introduced,which standardizes divide and conquer strategies. Genetic Algorithm is used in this framework to be called as Localized Genetic Algorithm. Lastly, a standard unit for computational comparison i.e., Bellman's Evaluation Units BEUs, is also introduced to facilitate computational comparisons for future researchers. Furthermore computational complexity estimation is also modelled to estimate computational time without actual experimentation.