Title
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
Recommended Citation
Razavi-Far, Roozbeh; Palade, Vasile; and Sun, Jun. (2013). Optimizing the performance of a refrigeration system using an invasive weed optimization algorithm. Smart Innovation, Systems and Technologies, 23, 79-93.
https://scholar.uwindsor.ca/electricalengpub/167