title: A parallel optimization approach for controlling allele diversity in conservation schemes.
abstract: We propose a novel method to control allelic diversity in conservation schemes based on an optimization problem, characterized by a convex program subject to integer linear constraints. Departing from previous studies considering similar problems, we implement a parallel simulated annealing algorithm to minimize the number of alleles lost across generations. The proposed algorithm shows excellent timing and minimization performances. Execution time decreases linearly with the number of processors used, providing similar results in all cases.
authors.affiliation: Departamento de Ingeniería Telemática, ETSI Telecomunicación, Universidad de Vigo, Spain. javier@det.uvigo.es
authors.forename: Javier
authors.initials: J
authors.lastname: Vales-Alonso
authors.forename: Jesús
authors.initials: J
authors.lastname: Fernández
authors.forename: Francisco J
authors.initials: FJ
authors.lastname: González-Castaño
authors.forename: Armando
authors.initials: A
authors.lastname: Caballero
mesh_terms: D000465:Algorithms; D000483:Alleles; D003198:Computer Simulation; D003247:Conservation of Natural Resources; D014644:Genetic Variation; D008957:Models, Genetic