A Genetic Programming Approach to Solve Scheduling Problems with Parallel Simulation

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15 Citations (Scopus)

Abstract

Scheduling and dispatching are two ways of solving production planning problems. In this work, based on preceding works, it is explained how these two approaches can be combined by the means of an automated rule generation procedure and simulation. Genetic programming is applied as the creator and optimizer of the rules. A simulator is used for the fitness evaluation and distributed over a number of machines. Some example results suggest that the approach could be successfully applied in the real world as the results are more than human competitive.

Original languageEnglish
Title of host publicationIPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM
PublisherIEEE Computer Society Press
Number of pages5
ISBN (Print)9781424416943
DOIs
Publication statusPublished - 2008
Event22nd IEEE International Parallel & Distributed Processing Symposium - Miami, United States
Duration: 14 Apr 200818 Apr 2008
http://www.ipdps.org

Publication series

NameIPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM

Conference

Conference22nd IEEE International Parallel & Distributed Processing Symposium
CountryUnited States
CityMiami
Period14.04.200818.04.2008
Internet address

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