Computational Intelligence in Flow Shop and Job Shop Scheduling /
| Corporate Author: | |
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| Other Authors: | |
| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2009.
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| Edition: | 1st ed. 2009. |
| Series: | Studies in Computational Intelligence,
230 |
| Subjects: |
Table of Contents:
- Structural Property and Meta-heuristic for the Flow Shop Scheduling Problem
- Scheduling in Flowshops with No-Idle Machines
- A Multi-Objective Ant-Colony Algorithm for Permutation Flowshop Scheduling to Minimize the Makespan and Total Flowtime of Jobs
- Multi-objective Simulated Annealing for Permutation Flow Shop Problems
- An Estimation of Distribution Algorithm for Minimizing the Makespan in Blocking Flowshop Scheduling Problems
- A Scatter Search Method for Multiobjective Fuzzy Permutation Flow Shop Scheduling Problem: A Real World Application
- Genetic Algorithm for Job Shop Scheduling under Uncertainty
- Giffler and Thompson Procedure Based Genetic Algorithms for Scheduling Job Shops
- Scheduling Practice and Recent Developments in Flow Shop and Job Shop Scheduling
- Metaheuristics for Common due Date Total Earliness and Tardiness Single Machine Scheduling Problem.