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Adaptive dispatching using genetic algorithms for multiple resources

Wongsavengwate, Pisamai
http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1184598551

Abstract Details

1997, Master of Science (MS), Ohio University, Industrial and Manufacturing Systems Engineering (Engineering).
Genetic Algorithms (GAs) have been applied to a variety of engineering problems with varying degrees of success. With two essential operators, crossover and mutation, genetic algorithms are able to find satisfying solutions in dynamic environments. This research investigates the utilization of genetic algorithms to improve the selection of parameters (e.g., sequencing and selection rules, load sizes, release strategies, resource allocation policies) for industrial scheduling systems based on discrete event simulators. The number of these parameters is very large and leads to combinatorial explosions. This research was limited to the dispatching rules that drive the selection of job orders in each manufacturing resource. Specific software and algorithms were developed and an industrial grade scheduler was utilized to define and implement a research prototype. The different genetic algorithms variations and the emphasis of the genetic operators were examined using this research prototype. The selection of parameters using genetic algorithms is further considered using the information from an existing manufacturing environment to demonstrate its feasibility.
Luis Rabelo (Advisor)
224 p.
Engineering, Industrial
Genetic Algorithms; Crossover Operators; Mutation Operators

Recommended Citations

Citations

  • Wongsavengwate, P. (1997). Adaptive dispatching using genetic algorithms for multiple resources [Master's thesis, Ohio University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1184598551

    APA Style (7th edition)

  • Wongsavengwate, Pisamai. Adaptive dispatching using genetic algorithms for multiple resources. 1997. Ohio University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1184598551.

    MLA Style (8th edition)

  • Wongsavengwate, Pisamai. "Adaptive dispatching using genetic algorithms for multiple resources." Master's thesis, Ohio University, 1997. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1184598551

    Chicago Manual of Style (17th edition)

ohiou1184598551
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© 1997, all rights reserved.
This open access ETD is published by Ohio University and OhioLINK.