Parallel genetic algorithm approaches applied to solve a synchronized and integrated lot sizing and scheduling problem - researchr publication authors

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Claudio Fabiano Motta Toledo, Lucas de Oliveira, Renato Resende Ribeiro de Oliveira, Marluce Rodrigues Pereira. Parallel genetic algorithm approaches applied to solve a synchronized and integrated lot sizing and scheduling problem. In Sung Y. Shin, Sascha Ossowski, Michael Schumacher, Mathew J. Palakal, Chih-Cheng Hung, editors, Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), Sierre, Switzerland, March 22-26, 2010. pages 1148-1152, ACM, 2010. [doi]

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