TY - GEN
T1 - Refinery scheduling optimization using genetic algorithms and cooperative coevolution
AU - Simao, Leonardo M.
AU - Dias, Douglas M.
AU - Pacheco, Marco Aurelio C.
PY - 2007
Y1 - 2007
N2 - Oil refineries are one of the most important examples of multiproduct continuous plants, that is, a continuous processing system that generates a number of products simultaneously. A refinery processes various crude oil types and produces a wide range of products. It is a complex optimization problem, mainly due to the number of different tasks involved and different objective criteria. In addition, some of the tasks have precedence constraints that require other tasks to be scheduled first. In this paper the refinery scheduling problem is addressed using genetic algorithms and cooperative coevolution. A simple refinery, with commonly found types of equipments, tasks and constraints of a real refinery, was created. Three test scenarios were designed with different sizes, demands and constraints. In all of them, the results obtained were far better than the ones obtained through random search.
AB - Oil refineries are one of the most important examples of multiproduct continuous plants, that is, a continuous processing system that generates a number of products simultaneously. A refinery processes various crude oil types and produces a wide range of products. It is a complex optimization problem, mainly due to the number of different tasks involved and different objective criteria. In addition, some of the tasks have precedence constraints that require other tasks to be scheduled first. In this paper the refinery scheduling problem is addressed using genetic algorithms and cooperative coevolution. A simple refinery, with commonly found types of equipments, tasks and constraints of a real refinery, was created. Three test scenarios were designed with different sizes, demands and constraints. In all of them, the results obtained were far better than the ones obtained through random search.
UR - https://www.scopus.com/pages/publications/34548762969
U2 - 10.1109/SCIS.2007.367683
DO - 10.1109/SCIS.2007.367683
M3 - Conference contribution
AN - SCOPUS:34548762969
SN - 1424407044
SN - 9781424407040
T3 - Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Scheduling, CI-Sched 2007
SP - 151
EP - 158
BT - Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Scheduling, CI-Sched 2007
PB - IEEE Computer Society
T2 - 2007 IEEE Symposium on Computational Intelligence in Scheduling, CI-Sched 2007, Part of the 2007 IEEE Symposium Series on Computational Intelligence, SSCI 2007
Y2 - 1 April 2007 through 5 April 2007
ER -