Metaheuristics for Scheduling in Industrial and Manufacturing Applications

byFatos XhafaEditorAjith Abraham

Paperback | November 22, 2010

Metaheuristics for Scheduling in Industrial and Manufacturing Applications by Fatos Xhafa
$291.09 online 
$303.95 list price
Earn 1,455 plum® points

Prices and offers may vary in store


In stock online

Ships free on orders over $25

Not available in stores


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).
Exact, Heuristic and Meta-heuristic Algorithms for Solving Shop Scheduling Problems.- Scatter Search Algorithms for Identical Parallel Machine Scheduling Problems.- On the Effectiveness of Particle Swarm Optimization and Variable Neighborhood Descent for the Continuous Flow-Shop Scheduling Problem.- A Dynamical Ant Colony Optimization ...
Title:Metaheuristics for Scheduling in Industrial and Manufacturing ApplicationsFormat:PaperbackProduct dimensions:346 pages, 23.5 X 15.5 X 0 inShipping dimensions:346 pages, 23.5 X 15.5 X 0 inPublished:November 22, 2010Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3642097782

ISBN - 13:9783642097782

Appropriate for ages: All ages

Look for similar items by category: