Multi-Objective Optimization and Decision Making for Greenhouse Climate Control System

M. Mahdavian, S. Sudeng, N. Wattanapongsakorn
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引用次数: 5

Abstract

Optimization of the real-world problems has been always considered by researchers due to its substantial improvement effect on processes. Modeling, simulation and decision making are three major parts of all optimization approaches. In this paper, Tri-objective optimization of an industrial greenhouse climate control system is investigated. In this regard, the greenhouse is modeled by the real measured data. Optimization and decision making are obtained by MATLAB simulator environment and using evolutionary and pruning algorithms. The simulation results verify the significant improvement of greenhouse climate control system efficiency and performance.
温室气候控制系统的多目标优化与决策
现实问题的优化由于其对过程的显著改善作用而一直受到研究人员的关注。建模、仿真和决策是所有优化方法的三个主要部分。本文研究了工业温室气候控制系统的三目标优化问题。在这方面,温室是由实际测量数据建模。在MATLAB仿真环境下,采用进化和剪枝算法进行优化决策。仿真结果验证了温室气候控制系统效率和性能的显著提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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