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The Scientific World Journal
Volume 2014, Article ID 748141, 11 pages
http://dx.doi.org/10.1155/2014/748141
Research Article

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

Department of Automation and Key Laboratory of System Control and Information Processing, Shanghai Jiao Tong University, Ministry of Education of China, Shanghai 200240, China

Received 4 October 2013; Accepted 4 December 2013; Published 18 February 2014

Academic Editors: Q. Cheng and J. Yang

Copyright © 2014 Qian-Qian Duan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [1 citation]

The following is the list of published articles that have cited the current article.

  • E. Osaba, R. Carballedo, F. Diaz, E. Onieva, I. de la Iglesia, and A. Perallos, “Crossover versus Mutation: A Comparative Analysis of the Evolutionary Strategy of Genetic Algorithms Applied to Combinatorial Optimization Problems,” The Scientific World Journal, vol. 2014, pp. 1–22, 2014. View at Publisher · View at Google Scholar