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Titlebook: Applications of Evolutionary Computation; 19th European Confer Giovanni Squillero,Paolo Burelli Conference proceedings 2016 Springer Intern

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https://doi.org/10.1007/978-1-4020-6754-9formance. This paper presents two new methods for biomarker detection through multi-objective feature selection and feature construction. The results show that the proposed multi-objective feature selection method can obtain better subsets of features than the single-objective algorithm and two trad
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2,5-A (adenine) oligonucleotidesg density, node degree distribution, and correlation between nodes, with density being the major contributor to computational complexity. We also examined sample bicliques and postulate that these bicliques could be useful in elucidating the genetic and biological underpinnings of shared disease eti
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Reference work 2008Latest editionive matrix factorization (NMF) and, next, clinical data are clustered using CNMF with constraints induced by the clustering of pathological data. Results indicate the presence of interesting clinical profiles, for instance related to vision or movement problems. In particular, the use of CNMF leads
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2,5-A (adenine) oligonucleotidesa combination of evolutionary meta-heuristic algorithms and Dandelion codes, the latter capable of representing tree-like structures like those modeling the multi-hop routing approach. Simulations are carried out for realistic values of intra-vehicular radio channels and co-channel interference due
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Evolutionary Multiobjective Optimization for Portfolios in Emerging Markets: Contrasting Higher Mome multi-objective problem and solved using a multi-objective evolutionary algorithm namely the non-dominated sorting genetic algorithm II. The six models are compared and tested on real financial data of the Egyptian Index EGX. The median models were found in general to outperform the higher moments
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Joint Topology Optimization, Power Control and Spectrum Allocation for Intra-Vehicular Multi-hop Sena combination of evolutionary meta-heuristic algorithms and Dandelion codes, the latter capable of representing tree-like structures like those modeling the multi-hop routing approach. Simulations are carried out for realistic values of intra-vehicular radio channels and co-channel interference due
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Conference proceedings 2016rithms in games), EvoIASP (evolutionary computation in imageanalysis, signal processing, and pattern recognition), EvoINDUSTRY(nature-inspired techniques in industrial settings), EvoNUM (bio-inspiredalgorithms for continuous parameter optimization), EvoPAR (parallelimplementation of evolutionary alg
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