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2008 7th Computer Information Systems and Industrial Management Applications
Genetic Algorithms Searching for Turbo Code Interleaver and Solving Linear Ordering Problem
June 26-June 28
ISBN: 978-0-7695-3184-7
Turbo code interleaver optimization and linear ordering problem are two NP-hard optimization problems attractive for their complexity and variety of real world applications. In this paper, we investigate the usage and performance of recent variant of genetic algorithms – higher level chromosome genetic algorithms – on the turbo code optimization task and linear ordering problem. Both problems as well as higher level chromosome genetic algorithms are introduced and experiments applying GA.
Citation:
Vaclav Snasel, Jan Platos, Pavel Kromer, Nabil Ouddane, "Genetic Algorithms Searching for Turbo Code Interleaver and Solving Linear Ordering Problem," cisim, pp.71-77, 2008 7th Computer Information Systems and Industrial Management Applications, 2008
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