04533nam 22007455 450 99646536780331620200705122646.0981-15-5577-X10.1007/978-981-15-5577-0(CKB)4100000011273602(MiAaPQ)EBC6209003(DE-He213)978-981-15-5577-0(PPN)248392840(EXLCZ)99410000001127360220200525d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierArtificial Intelligence Algorithms and Applications[electronic resource] 11th International Symposium, ISICA 2019, Guangzhou, China, November 16–17, 2019, Revised Selected Papers /edited by Kangshun Li, Wei Li, Hui Wang, Yong Liu1st ed. 2020.Singapore :Springer Singapore :Imprint: Springer,2020.1 online resource (811 pages)Communications in Computer and Information Science,1865-0929 ;1205981-15-5576-1 New Frontier in Evolutionary Algorithms -- Evolutionary Multi-objective and Dynamic Optimization -- Intelligent Multimedia Systems -- Virtualization and AI Applications -- Smart Scheduling -- Intelligent Control -- Big Data and Cloud Computing -- Statistical Learning.This book constitutes the thoroughly refereed proceedings of the 11th International Symposium on Intelligence Computation and Applications, ISICA 2019, held in Guangzhou, China, in November 2019. The 65 papers presented were carefully reviewed and selected from the total of 112 submissions. This volume features the most up-to-date research in evolutionary algorithms, parallel computing and quantum computing, evolutionary multi-objective and dynamic optimization, intelligent multimedia systems, virtualization and AI applications, smart scheduling, intelligent control, big data and cloud computing, deep learning, and hybrid machine learning systems.The papers are organized according to the following topical sections: new frontier in evolutionary algorithms; evolutionary multi-objective and dynamic optimization; intelligent multimedia systems; virtualization and AI applications; smart scheduling; intelligent control; big data and cloud computing; statistical learning.Communications in Computer and Information Science,1865-0929 ;1205Artificial intelligenceComputersComputer science—MathematicsComputer organizationAlgorithmsOptical data processingArtificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Information Systems and Communication Servicehttps://scigraph.springernature.com/ontologies/product-market-codes/I18008Mathematics of Computinghttps://scigraph.springernature.com/ontologies/product-market-codes/I17001Computer Systems Organization and Communication Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/I13006Algorithm Analysis and Problem Complexityhttps://scigraph.springernature.com/ontologies/product-market-codes/I16021Image Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021Artificial intelligence.Computers.Computer science—Mathematics.Computer organization.Algorithms.Optical data processing.Artificial Intelligence.Information Systems and Communication Service.Mathematics of Computing.Computer Systems Organization and Communication Networks.Algorithm Analysis and Problem Complexity.Image Processing and Computer Vision.006.3Li Kangshunedthttp://id.loc.gov/vocabulary/relators/edtLi Weiedthttp://id.loc.gov/vocabulary/relators/edtWang Huiedthttp://id.loc.gov/vocabulary/relators/edtLiu Yongedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996465367803316Artificial Intelligence Algorithms and Applications1959988UNISA03785nam 22007455 450 99646550850331620230329202708.03-319-49487-210.1007/978-3-319-49487-6(CKB)3710000000981117(DE-He213)978-3-319-49487-6(MiAaPQ)EBC5594455(PPN)197137253(EXLCZ)99371000000098111720161110d2016 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierAlgorithm Engineering[electronic resource] Selected Results and Surveys /edited by Lasse Kliemann, Peter Sanders1st ed. 2016.Cham :Springer International Publishing :Imprint: Springer,2016.1 online resource (X, 419 p. 68 illus.)Theoretical Computer Science and General Issues,2512-2029 ;92203-319-49486-4 Engineering a Lightweight and Efficient Local Search SAT Solver -- Route Planning in Transportation Networks -- Theoretical Analysis of the k-Means Algorithm - A Survey -- Recent Advances in Graph Partitioning -- How to Generate Randomized Roundings with Dependencies and How to Derandomize Them -- External-Memory State Space Search -- Algorithm Engineering Aspects of Real-Time Rendering Algorithms -- Algorithm Engineering in Robust Optimization -- Clustering Evolving Networks -- Integrating Sequencing and Scheduling: A Generic Approach with Two Exemplary Industrial Applications -- Engineering a Bipartite Matching Algorithm in the Semi-Streaming Model -- Engineering Art Galleries.Algorithm Engineering is a methodology for algorithmic research that combines theory with implementation and experimentation in order to obtain better algorithms with high practical impact. Traditionally, the study of algorithms was dominated by mathematical (worst-case) analysis. In Algorithm Engineering, algorithms are also implemented and experiments conducted in a systematic way, sometimes resembling the experimentation processes known from fields such as biology, chemistry, or physics. This helps in counteracting an otherwise growing gap between theory and practice.Theoretical Computer Science and General Issues,2512-2029 ;9220AlgorithmsApplication softwareArtificial intelligenceComputer networksComputer scienceComputer science—MathematicsDiscrete mathematicsAlgorithmsComputer and Information Systems ApplicationsArtificial IntelligenceComputer Communication NetworksTheory of ComputationDiscrete Mathematics in Computer ScienceAlgorithms.Application software.Artificial intelligence.Computer networks.Computer science.Computer science—Mathematics.Discrete mathematics.Algorithms.Computer and Information Systems Applications.Artificial Intelligence.Computer Communication Networks.Theory of Computation.Discrete Mathematics in Computer Science.518.1Kliemann Lasseedthttp://id.loc.gov/vocabulary/relators/edtSanders Peteredthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996465508503316Algorithm engineering1980326UNISA