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

Conference proceedings article

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Publication Details

Author list: Mahdavian M., Sudeng S., Wattanapongsakorn N.

Publisher: Hindawi

Publication year: 2017

ISBN: 9781509054930

ISSN: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018239434&doi=10.1109%2fICISSEC.2016.7885862&partnerID=40&md5=a8e031444db4b7159360d4dfc474382a

Languages: English-Great Britain (EN-GB)

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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. ฉ 2016 IEEE.

Keywords

Computational modeling, Computer simulation, decision making, Greenhouse climate, Pareto optimization, PID controller tuning