Abstract
The problem of computing a hull solution of parametric interval linear systems with general dependencies is considered. It can be reduced to the problem of solving a family of constrained optimizatiom problems. In this study, different metaheuristics are used to solve those problems. Comparison of evolutionary algorithm, simulated annealing and tabu search algorithm together with analysis of variance tests are provided on the basis of three different practical problems.
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Skalna, I., Duda, J. (2011). A Comparison of Metaheurisitics for the Problem of Solving Parametric Interval Linear Systems. In: Dimov, I., Dimova, S., Kolkovska, N. (eds) Numerical Methods and Applications. NMA 2010. Lecture Notes in Computer Science, vol 6046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18466-6_36
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DOI: https://doi.org/10.1007/978-3-642-18466-6_36
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