Applications of Evolutionary Computation : 20th European Conference, EvoApplications 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings, Part I /

The two volumes LNCS 10199 and 10200 constitute the refereed conference proceedings of the 20th European Conference on the Applications of Evolutionary Computation, EvoApplications 2017, held in Amsterdam, The Netherlands, in April 2017, collocated with the Evo* 2016 events EuroGP, EvoCOP, and EvoMU...

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Bibliographic Details
Corporate Authors: SpringerLink Online service
Group Author: Squillero, Giovanni; Sim, Kevin
Published: Springer International Publishing : Imprint: Springer,
Publisher Address: Cham :
Publication Dates: 2017.
Literature type: eBook
Language: English
Series: Lecture Notes in Computer Science, 10199
Subjects:
Online Access: http://dx.doi.org/10.1007/978-3-319-55849-3
Summary: The two volumes LNCS 10199 and 10200 constitute the refereed conference proceedings of the 20th European Conference on the Applications of Evolutionary Computation, EvoApplications 2017, held in Amsterdam, The Netherlands, in April 2017, collocated with the Evo* 2016 events EuroGP, EvoCOP, and EvoMUSART. The 46 revised full papers presented together with 26 poster papers were carefully reviewed and selected from 108 submissions. EvoApplications 2016 consisted of the following 13 tracks: EvoBAFIN (natural computing methods in business analytics and finance), EvoBIO (evolutionary computation,
Carrier Form: 1 online resource(XXIV,905pages): illustrations.
ISBN: 9783319558493
Index Number: QA76
CLC: TP3-532
Contents: EvoBAFIN: Minimization of Systemic Risk for Directed Network Using Genetic Algorithm -- Pricing Rainfall Based Futures Using Genetic Programming -- Dynamic Portfolio Optimization in Ultra-High Frequency Environment -- EvoBIO: Integration of Reaction Kinetics Theory and Gene Expression Programming to Infer Reaction Mechanism -- De Novo DNA Assembly with a Genetic Algorithm Finds Accurate Genomes Even with Suboptimal Fitness -- EVE: Cloud-based Annotation of Human Genetic Variants -- Improving the Reproducibility of Genetic Association Results Using Genotype Resampling Methods -- Objective Ass