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The DNA fragment assembly problem is an NP-complete problem which has been solved efficiently by many metaheuristics. However, those techniques generally assemble fragments that belong to noiseless DNA sequences. But nowadays dealing with noisy instances is imperative. For that we analyse exhaustively how noiseless and noisy instances of this problem are dealt by three efficient algorithms (Problem...
In this paper, a simulated annealing is designed and applied to compute the optimal placement of wind turbines in a wind farm. The objective of this process is to find a combination of aero-generators that maximizes the annual profit obtained from a wind farm, measured as the generated power in one year. Simulated annealing (SA) is a metaheuristic for global optimization that we will use here to search...
Metaheuristics are approximate algorithms that can be used to face complex (e.g. NP-hard) problems of large dimensions, highly constrained, with mixed types of variables, and in general with complex search landscapes. Either in isolation or hybridized, evolutionary algorithms, ant colony optimization, particle swarm optimization, and traditional simulated annealing are powerful search procedures that...
Wireless sensor networks (WSN) allow, thanks to the use of small wireless devices known as sensor nodes, the monitorization of wide and remote areas with precision and live-ness unseen to the date without the intervention of a human operator. When a WSN is being deployed, there are two major concerns: the coverage achieved has to be the largest possible, and the lifetime of the network has to be the...
As more research centers embark on sequencing new genomes, the problem of DNA fragment assembly for shotgun sequencing is growing in importance and complexity. Accurate and fast assembly is a crucial part of any sequencing project and since the DNA fragment assembly problem is NP-hard, exact solutions are very difficult to obtain. Various heuristics, including genetic algorithms, were designed for...
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