Metaheuristics for Scheduling in Industrial and Manufacturing Applications

Metaheuristics for Scheduling in Industrial and Manufacturing Applications
Author :
Publisher : Springer Science & Business Media
Total Pages : 362
Release :
ISBN-10 : 9783540789840
ISBN-13 : 3540789847
Rating : 4/5 (40 Downloads)

Book Synopsis Metaheuristics for Scheduling in Industrial and Manufacturing Applications by : Fatos Xhafa

Download or read book Metaheuristics for Scheduling in Industrial and Manufacturing Applications written by Fatos Xhafa and published by Springer Science & Business Media. This book was released on 2008-06-21 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the past decades scheduling has been among the most studied op- mization problemsanditisstillanactiveareaofresearch!Schedulingappears in many areas of science, engineering and industry and takes di?erent forms depending on the restrictions and optimization criteria of the operating en- ronments [8]. For instance, in optimization and computer science, scheduling has been de?ned as “the allocation of tasks to resources over time in order to achieve optimality in one or more objective criteria in an e?cient way” and in production as “production schedule, i. e. , the planning of the production or the sequence of operations according to which jobs pass through machines and is optimal with respect to certain optimization criteria. ” Although there is a standardized form of stating any scheduling problem, namely “e?cient allocation ofn jobs onm machines –which can process no more than one activity at a time– with the objective to optimize some - jective function of the job completion times”, scheduling is in fact a family of problems. Indeed, several parameters intervene in the problem de?nition: (a) job characteristics (preemptive or not, precedence constraints, release dates, etc. ); (b) resource environment (single vs. parallel machines, un- lated machines, identical or uniform machines, etc. ); (c) optimization criteria (minimize total tardiness, the number of late jobs, makespan, ?owtime, etc. ; maximize resource utilization, etc. ); and, (d) scheduling environment (static vs. dynamic,intheformerthenumberofjobstobeconsideredandtheirready times are available while in the later the number of jobs and their charact- istics change over time).


Metaheuristics for Scheduling in Industrial and Manufacturing Applications Related Books

Metaheuristics for Scheduling in Industrial and Manufacturing Applications
Language: en
Pages: 362
Authors: Fatos Xhafa
Categories: Computers
Type: BOOK - Published: 2008-06-21 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

During the past decades scheduling has been among the most studied op- mization problemsanditisstillanactiveareaofresearch!Schedulingappears in many areas of sc
Metaheuristics for Production Scheduling
Language: en
Pages: 381
Authors: Bassem Jarboui
Categories: Technology & Engineering
Type: BOOK - Published: 2013-06-12 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

This book describes the potentialities of metaheuristics for solving production scheduling problems and the relationship between these two fields. For the past
Metaheuristics for Production Systems
Language: en
Pages: 350
Authors: El-Ghazali Talbi
Categories: Business & Economics
Type: BOOK - Published: 2015-11-26 - Publisher: Springer

DOWNLOAD EBOOK

This book discusses the main techniques and newest trends to manage and optimize the production and service systems. The book begins by examining the three main
Variants of Evolutionary Algorithms for Real-World Applications
Language: en
Pages: 470
Authors: Raymond Chiong
Categories: Technology & Engineering
Type: BOOK - Published: 2011-11-13 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Evolutionary Algorithms (EAs) are population-based, stochastic search algorithms that mimic natural evolution. Due to their ability to find excellent solutions
Big Data Technologies and Applications
Language: en
Pages: 363
Authors: Rui Hou
Categories: Computers
Type: BOOK - Published: 2023-06-26 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book constitutes the refereed post-conference proceedings of the 11th and the 12th International Conference on Big Data Technologies and Applications, BDTA