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Metaheuristics for Scheduling in Industrial and Manufacturing Applications

Aus der Reihe Studies in Computational Intelligence

147,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

22.11.2010

Abbildungen

XXIV, 346 p.

Herausgeber

Fatos Xhafa + weitere

Verlag

Springer Berlin

Seitenzahl

346

Maße (L/B/H)

23,5/15,5/2,1 cm

Gewicht

563 g

Auflage

Softcover reprint of hardcover 1st ed. 2008

Sprache

Englisch

ISBN

978-3-642-09778-2

Beschreibung

Rezension

From the reviews:


"This balanced collection of 13 chapters presents quality research, with each chapter describing an industrial or manufacturing case related to scheduling. … The use of heuristics is very appropriate for most scheduling problems … . The problems, methods, and approaches presented in the book are very diverse, offering a good starting point for solving most practical scheduling problems. … An advantage of the book--the diversity of the problems and solutions presented … ." (Waldemar Koczkodaj, ACM Computing Reviews, October, 2009)

Portrait

Dr. Ajith Abraham is Director of the Machine Intelligence Research (MIR) Labs, a global network of research laboratories with headquarters near Seattle, WA, USA. He is an author/co-author of more than 750 scientific publications. He is founding Chair of the International Conference of Computational Aspects of Social Networks (CASoN), Chair of IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing (since 2008), and a Distinguished Lecturer of the IEEE Computer Society representing Europe (since 2011).

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

22.11.2010

Abbildungen

XXIV, 346 p.

Herausgeber

Verlag

Springer Berlin

Seitenzahl

346

Maße (L/B/H)

23,5/15,5/2,1 cm

Gewicht

563 g

Auflage

Softcover reprint of hardcover 1st ed. 2008

Sprache

Englisch

ISBN

978-3-642-09778-2

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Metaheuristics for Scheduling in Industrial and Manufacturing Applications
  • Produktbild: Metaheuristics for Scheduling in Industrial and Manufacturing Applications
  • 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 with Heuristics for Scheduling Jobs on a Single Machine with a Common Due Date.- Deterministic Search Algorithm for Sequencing and Scheduling.- Sequential and Parallel Variable Neighborhood Search Algorithms for Job Shop Scheduling.- Solving Scheduling Problems by Evolutionary Algorithms for Graph Coloring Problem.- Heuristics and meta-heuristics for lot sizing and scheduling in the soft drinks industry: a comparison study.- Hybrid Heuristic Approaches for Scheduling in Reconfigurable Manufacturing Systems.- A Genetic Algorithm for Railway Scheduling Problems.- Modelling Process and Supply Chain Scheduling Using Hybrid Meta-heuristics.- Combining Simulation and Tabu Search for Oil-derivatives Pipeline Scheduling.- Particle Swarm Scheduling for Work-Flow Applications in Distributed Computing Environments.