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Control of Refrigeration Systems based on Vapour Compression using Multi-objective optimization techniques

IFAC-PapersOnLine 2018年第4期51卷 722-727页

作者： Reynoso-Meza, Gilberto Sánchez, Helem Sabina Alves Ribeiro, Victor Henrique Israel Israel Automatic Control Department UPC-ESAII Rambla de Sant Nebridi 11 Terrassa08222 Spain

In this work a tuning procedure by means of multi-objective optimization techniques is used for a refrigeration system based on vapour compression, stated as the benchmark process control challenge organized by the IFAC Conference on Advances in Proportional-Integral-Derivative (PID) Control. The advantage of such a procedure lies in the capacity to perform an analysis on the trade-off among conflicting design objectives. The resulting controller fulfills the requirements of the contest, and gets and overall performance index of 0.4028 outperforming the base line controller. © 2018

关键词： Multiobjective optimization Controllers Economic and social effects Proportional control systems Refrigeration Three term control systems Two term control systems Control challenges Design objectives Multi objective optimization techniques Performance indices PID controllers Proportional integral derivative control Refrigeration system Vapour compressions

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Multi-objective optimization for the train load planning problem with two cranes in seaport terminals

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IFAC-PapersOnLine 2016年第3期49卷 383-388页

作者： Ambrosino, D. Bernocchi, L. Siri, S. Department of Economics and Business Studies University of Genova Italy Department of Informatics Bioengineering Robotics and Systems Engineering University of Genova Italy

This paper deals with the train load planning problem arising in seaport terminals. In particular, the train load planning problem in case of two cranes is studied, corresponding to the optimal assignment of containers to the wagons on which they are loaded and to the cranes which perform the loading operations. This optimal assignment is realized by considering the simultaneous optimization of several objectives. Hence, the train load planning problem is formulated as a multi-objective optimization problem and three multi-objective optimization techniques are applied and compared to solve it. Some preliminary experimental results are shown in order to compare the three methods. © 2016

关键词： Multiobjective optimization Cranes Loading operations Multi objective optimization problem Multi objective optimization techniques Optimal assignment Simultaneous optimization Train loads

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