A Novel Algorithm Combining Finite State Method and Genetic Algorithm for Solving Crude Oil Scheduling Problem

A hybrid optimization algorithm combining finite state method (FSM) and genetic algorithm (GA) is proposed to solve the crude oil scheduling problem. The FSM and GA are combined to take the advantage of each method and compensate deficiencies of individual methods. In the proposed algorithm, the fin...

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Detalles Bibliográficos
Autores principales: Duan, Qian-Qian, Yang, Gen-Ke, Pan, Chang-Chun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3948204/
https://www.ncbi.nlm.nih.gov/pubmed/24772031
http://dx.doi.org/10.1155/2014/748141

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3948204/
https://www.ncbi.nlm.nih.gov/pubmed/24772031
http://dx.doi.org/10.1155/2014/748141

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