Study on the optimal operation of the steam network in the refinery

Authors:
Hao Wu;Xiaochuan Luo;Le Yu
Affiliations:
Key Laboratory of Process Industry Automation (MOE), Northeastern University, Shen Yang, China;Key Laboratory of Process Industry Automation (MOE), Northeastern University, Shen Yang, China;Key Laboratory of Process Industry Automation (MOE), Northeastern University, Shen Yang, China
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Year:
2009

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An analysis of the behavior of a class of genetic adaptive systems.

An analysis of the behavior of a class of genetic adaptive systems.
Muiltiobjective optimization using nondominated sorting in genetic algorithms

Evolutionary Computation

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Abstract

Based on other people's study of steam network, a network which integrated with process units was obtained. This dissertation has proposed a constrained multi objective model, and NSGA-II (Non-dominated Sorting Genetic Algorithm -II) will solve it quickly. A real industrial example has been analyzed and the improvements are identified.