Evaluating the Performance of the Genetic Neuro Scheduler using Constant as Well as Changing Crossover and Mutation Rates

Author

Cihan H. Dagli, Missouri University of Science and TechnologyFollow
K. Schierholt

Abstract

The Genetic Neuro Scheduler uses Genetic Algorithms to find effective production schedules for Job Shop Problems. Experiments have shown that the used crossover operator limits the search for good solutions. These experiments and possible improvements are demonstrated in this paper. © 1997 Elsevier Science Ltd.

Recommended Citation

C. H. Dagli and K. Schierholt, "Evaluating the Performance of the Genetic Neuro Scheduler using Constant as Well as Changing Crossover and Mutation Rates," Computers and Industrial Engineering, vol. 33, no. 1 thru 2, pp. 253 - 256, Elsevier, Jan 1997.

The definitive version is available at https://doi.org/10.1016/s0360-8352(97)00086-7

Department(s)

Engineering Management and Systems Engineering

International Standard Serial Number (ISSN)

0360-8352

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 Elsevier, All rights reserved.

Publication Date

01 Jan 1997