Solution of the inverse continuous casting problem with application of the invasive weed optimization algorithm
Edyta Hetmaniok, Damian Słota, Adam Zielonka
Institute of Mathematics, Silesian University of Technology, Kaszubska 23, 44-100 Gliwice, Poland.
DOI:
https://doi.org/10.7494/cmms.2014.2.0483
Abstract:
In the paper we propose to apply the Invasive Weed Optimization (IWO) algorithm for solving the inverse problem of continuous casting. The investigated task consists in determination of the heat flux in crystallizer and the heat transfer coefficient in the secondary cooling zone on the way of solving the two-phase Stefan problem, describing the discussed process, and minimizing the appropriate functional by using the IWO algorithm. The applied algorithm belongs to the group of artificial intelligence algorithms and is inspired by the extraordinary ability of the colony of weeds for fast growth, quick reproduction and ease of adapting for environmental conditions.
Cite as:
Hetmaniok, E., Słota, D., & Zielonka, A. (2014). Solution of the inverse continuous casting problem with application of the invasive weed optimization algorithm. Computer Methods in Materials Science, 14(2), 114 – 122. https://doi.org/10.7494/cmms.2014.2.0483
Article (PDF):
Keywords:
Artificial Intelligence, Evolutionary Algorithms, IWO Algorithm, Inverse Continuous Casting Problem
References: