Evolving priority scheduling heuristics with genetic programming
نویسندگان
چکیده
This paper investigates the use of genetic programming in automatized synthesis of scheduling heuristics for an arbitrary performance criteria. The applied scheduling technique is priority scheduling, where the next state of the system is determined based on priority values of certain system elements. Genetic programming is used to create the priority function which, coupled with an appropriate meta-algorithm for a given environment, forms the priority scheduling heuristic. The evolved solutions are compared with existing scheduling heuristics and found to perform similarly or better than existing algorithms. We intend to show that this approach may be particularly useful for those combinations of scheduling environment and criteria for which there are no adequate scheduling algorithms.
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ورودعنوان ژورنال:
- Appl. Soft Comput.
دوره 12 شماره
صفحات -
تاریخ انتشار 2012