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

Roozbeh Razavi-Far, Vasile Palade, Jun Sun

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationCombinations of Intelligent Methods and Applications
Subtitle of host publicationProceedings of the 3rd International Workshop, CIMA 2012, Montpellier, France, August 2012
EditorsIoannis Hatzilygeroudis, Vasile Palade
Place of PublicationHeidelberg
PublisherSpringer
Pages79-93
Number of pages15
Volume23
ISBN (Electronic)9783642366512
ISBN (Print)9783642366505
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event3rd Workshop on Combinations of Intelligent Methods and Applications, CIMA 2012 - Chania, Crete, France
Duration: 28 Aug 201228 Aug 2012

Publication series

NameSmart Innovation, Systems and Technologies
Volume23
ISSN (Print)21903018
ISSN (Electronic)21903026

Conference

Conference3rd Workshop on Combinations of Intelligent Methods and Applications, CIMA 2012
CountryFrance
CityChania, Crete
Period28/08/1228/08/12

Keywords

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

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Computer Science(all)

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