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Heuristics, metaheuristics and approximate methods in planning and scheduling

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Heuristics, metaheuristics and approximate methods in planning and scheduling/ edited by Ghaith Rabadi.
其他作者:	Rabadi, Ghaith.
出版者:	Cham :Springer International Publishing : : 2016.,
面頁冊數:	xii, 264 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Heuristic algorithms. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-26024-2
ISBN:	9783319260242

Heuristics, metaheuristics and approximate methods in planning and scheduling
Heuristics, metaheuristics and approximate methods in planning and scheduling[electronic resource] /edited by Ghaith Rabadi. - Cham :Springer International Publishing :2016. - xii, 264 p. :ill., digital ;24 cm. - International series in operations research & management science,v.2360884-8289 ;. - International series in operations research & management science ;106..

The scope of this book is limited to heuristics, metaheuristics, and approximate methods and algorithms as applied to planning and scheduling problems. While it is not possible to give a comprehensive treatment of this topic in one book, the aim of this work is to provide the reader with a diverse set of planning and scheduling problems and different heuristic approaches to solve them. The problems range from traditional single stage and parallel machine problems to more modern settings such as robotic cells and flexible job shop networks. Furthermore, some chapters deal with deterministic problems while some others treat stochastic versions of the problems. Unlike most of the literature that deals with planning and scheduling problems in the manufacturing and production environments, in this book the environments were extended to nontraditional applications such as spatial scheduling (optimizing space over time), runway scheduling, and surgical scheduling. The solution methods used in the different chapters of the book also spread from well-established heuristics and metaheuristics such as Genetic Algorithms and Ant Colony Optimization to more recent ones such as Meta-RaPS.

ISBN: 9783319260242

Standard No.: 10.1007/978-3-319-26024-2doiSubjects--Topical Terms:

837099
Heuristic algorithms.

LC Class. No.: QA76.9.A43

Dewey Class. No.: 005.1

Heuristics, metaheuristics and approximate methods in planning and scheduling
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