A New Genetic Improvement Operator Based on Frequency Analysis for Genetic Algorithms Applied to Job Shop Scheduling Problem-Reference-Cited by-同舟云学术

A New Genetic Improvement Operator Based on Frequency Analysis for Genetic Algorithms Applied to Job Shop Scheduling Problem

Published:2021 Issue: Volume: Page:434-450
ISSN:0302-9743
Container-title:Artificial Intelligence and Soft Computing
language:
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Author:

Viana Monique Simplicio^ORCID,Contreras Rodrigo Colnago^ORCID,Junior Orides Morandin^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-87986-0_39

Reference41 articles.

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2. do Amaral, L.R., Hruschka, E.R.: Transgenic, an operator for evolutionary algorithms. In: 2011 IEEE Congress of Evolutionary Computation (CEC), pp. 1308–1314. IEEE (2011)

3. do Amaral, L.R., Hruschka Jr, E.R.: Transgenic: an evolutionary algorithm operator. Neurocomputing 127, 104–113 (2014)

4. Asadzadeh, L.: A local search genetic algorithm for the job shop scheduling problem with intelligent agents. Comput. Ind. Eng 85, 376–383 (2015)

5. Lecture Notes in Computer Science;C Bierwirth,1996

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