01102nam0-22003611i-450-99000783527040332120070717095515.088-14-10317-8000783527FED01000783527(Aleph)000783527FED0100078352720031105d2003----km-y0itay50------baitaITy---n---001yy<<Le >>responsabilità nella pubblica amministrazione e la giurisdizione contabileMaurizio MirabellaMilanoGiuffrè2003XIV, 256 p.21 cmTeoria e pratica del dirittoSez. 4.Diritto amministrativo69342.08821itaMirabella,Maurizio280555ITUNINARICAUNIMARCBK990007835270403321XX 25 (69)46600*FGBCSCUOLA C 40713DDAE 168s.i.DSSFGBCDSSDDAResponsabilità nella pubblica amministrazione e la giurisdizione contabile672365UNINA00817nam2-2200325---450-99000831867040332120120719104909.08849672098000831867FED01000831867(Aleph)000831867FED0100083186720060503d2002----km-y0itay50------baitaITa---p---001yyImpianti tecnologiciRomaDei2002346 p.ill.28 cm1 Cd-romGennaio 20020010009607152001EDILIZIAprezzi338.76ITUNINARICAUNIMARCBK990008318670403321TECN B 146812443FARBCFARBCImpianti tecnologici744986UNINA03952nam 22006135 450 991029995700332120250609110929.03-319-74775-410.1007/978-3-319-74775-0(CKB)4100000002892353(MiAaPQ)EBC5439422(DE-He213)978-3-319-74775-0(PPN)225550393(MiAaPQ)EBC5591125(EXLCZ)99410000000289235320180305d2018 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierA Metaheuristic Approach to Protein Structure Prediction Algorithms and Insights from Fitness Landscape Analysis /by Nanda Dulal Jana, Swagatam Das, Jaya Sil1st ed. 2018.Cham :Springer International Publishing :Imprint: Springer,2018.1 online resource (xxix, 220 pages) illustrationsEmergence, Complexity and Computation,2194-7287 ;313-319-74774-6 Metaheuristic Protein Structure Prediction-An Overview -- Related Works -- Continuous Landscape Analysis using Random Walk Algorithm -- Landscape Characterization and Algorithms Selection for the PSP Problem -- The Levy distributed Parameter Adaptive Metaheuristic Algorithm for Protein Structure Prediction -- Protein Structure Prediction using Improved Variants of Metaheuristic Algorithms -- Hybrid Metaheuristic Approach for Protein Structure Prediction -- Conclusions and Future Research.This book introduces characteristic features of the protein structure prediction (PSP) problem. It focuses on systematic selection and improvement of the most appropriate metaheuristic algorithm to solve the problem based on a fitness landscape analysis, rather than on the nature of the problem, which was the focus of methodologies in the past. Protein structure prediction is concerned with the question of how to determine the three-dimensional structure of a protein from its primary sequence. Recently a number of successful metaheuristic algorithms have been developed to determine the native structure, which plays an important role in medicine, drug design, and disease prediction. This interdisciplinary book consolidates the concepts most relevant to protein structure prediction (PSP) through global non-convex optimization. It is intended for graduate students from fields such as computer science, engineering, bioinformatics and as a reference for researchers and practitioners.Emergence, Complexity and Computation,2194-7287 ;31Computational intelligenceComputational complexityArtificial intelligenceProteinsComputational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Complexityhttps://scigraph.springernature.com/ontologies/product-market-codes/T11022Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Protein Structurehttps://scigraph.springernature.com/ontologies/product-market-codes/L14050Computational intelligence.Computational complexity.Artificial intelligence.Proteins.Computational Intelligence.Complexity.Artificial Intelligence.Protein Structure.006.3Jana Nanda Dulalauthttp://id.loc.gov/vocabulary/relators/aut1063364Das Swagatamauthttp://id.loc.gov/vocabulary/relators/autSil Jayaauthttp://id.loc.gov/vocabulary/relators/autBOOK9910299957003321A Metaheuristic Approach to Protein Structure Prediction2531948UNINA