Multi Objective Optimization and Decision Making for Greenhouse Climate Control System
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.
2016 International Conference on Information Science and Security (ICISS)