Summary
In this paper we propose and study the behavior of a new hybrid heuristic algorithm for the DNA fragment assembly problem. The DNA fragment assembly is a problem solved in the early phases of the genome project and thus very important, since the other steps depend on its accuracy. This is an NP-hard combinatorial optimization problem which is growing in importance and complexity as more research centers become involved on sequencing new genomes. Our contribution is a hybrid method that combines a promising heuristic, PALS, with a well-know metaheuristic, a genetic algorithm, obtaining as result a very efficient assembler that allows to find optimal solutions for large instances of this problem.
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© 2008 Springer-Verlag Berlin Heidelberg
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Alba, E., Luque, G. (2008). A Hybrid Genetic Algorithm for the DNA Fragment Assembly Problem. In: Cotta, C., van Hemert, J. (eds) Recent Advances in Evolutionary Computation for Combinatorial Optimization. Studies in Computational Intelligence, vol 153. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70807-0_7
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DOI: https://doi.org/10.1007/978-3-540-70807-0_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-70806-3
Online ISBN: 978-3-540-70807-0
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