Metaheuristics for Scheduling in Industrial and Manufacturing Applications
During the past decades scheduling has been among the most studied optimization problems and it is still an active area of research! Scheduling appears in many areas of science, engineering and industry and takes different forms depending on the restrictions and optimization criteria of the operatin...
Kaydedildi:
| Yazar: | |
|---|---|
| Diğer Yazarlar: | , |
| Materyal Türü: | Livre numérique |
| Dil: | Anglais |
| Baskı/Yayın Bilgisi: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edisyon: | 1st ed. 2008. |
| Seri Bilgileri: | Studies in Computational Intelligence
128 |
| Online Erişim: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Not: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Metaheuristics for scheduling in industrial and manufacturing applications, with 92 figures and 86 tables, Fatos Xhafa, Ajith Abraham (eds.), Berlin, Springer Verlag, 2008, 1 vol. (xxiii-346 p.), Studies in computational intelligence, 978-3-540-78984-0 |
İçindekiler:
- 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