Optimizing the performance of a refrigeration system using an invasive weed optimization algorithm

Document Type

Conference Proceeding

Publication Date

10-7-2013

Publication Title

Smart Innovation, Systems and Technologies

Volume

23

First Page

79

Keywords

Invasive weed optimization (IWO), Particle swarm optimization (PSO), Performance optimization, Refrigeration systems

Last Page

93

Abstract

This paper presents a study and the obtained results on the performance optimization of a large refrigeration system in steady state conditions. It is shown that, by using adequate knowledge on plant operation, the plant wide performance can be optimized with respect to a small set of variables. For this purpose, an appropriate performance function is defined. A derivative free optimization technique based on the invasive weed optimization (IWO) algorithm has been used to optimize the parameters of the local controllers in the system. The performance of the IWO algorithm, both in terms of optimality of the results and speed of convergence, is compared with particle swarm optimization (PSO) algorithm. Simulation results have been used to validate the proposed approach. © Springer-Verlag Berlin Heidelberg 2013.

DOI

10.1007/978-3-642-36651-2_5

ISSN

21903018

E-ISSN

21903026

ISBN

9783642366505

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