Metaheuristics for Scheduling in Industrial and Manufacturing Applications
| Corporate Author: | |
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2008.
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| Edition: | 1st ed. 2008. |
| Series: | Studies in Computational Intelligence,
128 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-540-78985-7 |
Table of Contents:
- 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.