All over the world, human resources are used on all kinds of different scheduling problems, many of which are time-consuming and tedious. Scheduling tools are thus very welcome. This paper presents a research project, where Genetic Algorithms (GAs) are used as the basis for solving a timetabling pro
A hybrid genetic/optimization algorithm for a task allocation problem
β Scribed by Atidel Ben Hadj-Alouane; James C. Bean; Katta G. Murty
- Publisher
- Springer US
- Year
- 1999
- Tongue
- English
- Weight
- 117 KB
- Volume
- 2
- Category
- Article
- ISSN
- 1094-6136
No coin nor oath required. For personal study only.
β¦ Synopsis
We consider the problem of designing a distributed computing system for handling a set of repetitive tasks on a periodic basis. Tasks assigned to di!erent processors need communication link capacity, tasks executing on the same processor do not. The aim is to develop a design of minimum total cost that can handle all the tasks. We compare the performances of a genetic algorithm, a commercial 0}1 integer programming software and a hybrid approach from the literature, in solving real instances of the problem.
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