Titlebook: Applications of Evolutionary Computation; 20th European Confer Giovanni Squillero,Kevin Sim Conference proceedings 2017 Springer Internatio

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Meta-Heuristically Seeded Genetic Algorithm for Independent Job Scheduling in Grid Computinga meta-heuristic algorithm to generate its initial population. To evaluate the performance of the proposed method in terms of minimizing the makespan, the Expected Time to Compute (ETC) simulation model is used to carry out a number of experiments. The results show that the proposed algorithm performs better than other selected techniques.

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0302-9743 and pattern recognition), EvoINDUSTRY (nature-inspired techniques in industrial settings), EvoKNOW (knowledge incorporation in evolutionary computation), EvoNUM (bio-inspired algorithms for co978-3-319-55848-6978-3-319-55849-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

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https://doi.org/10.1007/978-0-387-26336-6ld in over 95% of all assembly runs. For the smaller read sets, the scaffold obtained consists of only the correct contig; for the larger read libraries, the fitness of the solution is suboptimal, with chaff contigs present; however, a simple post-processing step can realign the chaff onto the corre

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https://doi.org/10.1007/978-0-387-26336-6ression Atlas, miRNA annotations, minor allele frequencies from the 1000 Genomes Project and the Exome Aggregation Consortium, and deleteriousness scores from Combined Annotation Dependent Depletion. We demonstrate the utility of EVE by annotating the genetic variants in a case-control study of glau

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