An evolutionary algorithm for multi-objective optimization of freshwater consumption in textile dyeing industry

Optimization is challenging even after numerous multi-objective evolutionary algorithms have been developed. Most of the multi-objective evolutionary algorithms failed to find out the best solutions spread and took more fitness evolution value to find the best solution. This article proposes an exte...

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Detalles Bibliográficos
Autores principales: Elahi, Ihsan, Ali, Hamid, Asif, Muhammad, Iqbal, Kashif, Ghadi, Yazeed, Alabdulkreem, Eatedal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Algorithms and Analysis of Algorithms
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044317/
https://www.ncbi.nlm.nih.gov/pubmed/35494829
http://dx.doi.org/10.7717/peerj-cs.932

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044317/
https://www.ncbi.nlm.nih.gov/pubmed/35494829
http://dx.doi.org/10.7717/peerj-cs.932

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