03992nam a22004935i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050000900172072001600181072002300197072001500220245018300235250001800418264006900436300006400505336002600569337002600595338003600621347002400657490006200681505101400743520113001757650003902887650003602926650002302962650003902985650003603024650002303060700008603083710003403169773002603203776003603229776003603265776003603301830006903337856004603406912001403452912001503466999001703481978-3-031-57320-0DE-He21320251030111748.0cr nn 008mamaa240327s2024    sz |    s    |||| 0|eng d  a97830315732009978-3-031-57320-07 a10.1007/978-3-031-57320-02doi 4aQ342 7aUYQ2bicssc 7aCOM0040002bisacsh 7aUYQ2thema10aRecent Advances in Computational Optimizationh[electronic resource] :bSelected Papers from the WCO 2022 – Workshop on Computational Optimization /cedited by Stefka Fidanova.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aX, 315 p. 245 illus., 60 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aStudies in Computational Intelligence,x1860-9503 ;v11580 a1. Application of Intuitionistic Fuzzy Logic to Identify Important Functional Performance Indicators in Case of Youth Hockey Players -- 2. Applicability of the CHIRPS Precipitation Product in the Regional Climatology of Southeast Europe -- 3. Mathematical Modeling and Static Characteristics of the Anaerobic Digestion of Organic Wastes with Production of Hydrogen and Methane -- 4. Towards the Analysis of Longitudinal Data in Knowledge Graphs on Job Ads -- 5. Workforce Allocation for Social Engagement Services via Stochastic Optimization -- 6. Application of Methaeuristics for Agricultural System Modelling -- 7. Subcaterpillar Isomorphism: Subtree Isomorphism for Rooted Labeled Caterpillars -- 8. Optimization, Performance and Scalability Experiments of a Large Air Pollution Model by Using the EuroHPC Petascale Supercomputer DISCOVERER -- 9. Software Tool for Optimizing Cycling Route by Defining Cyclist Air Pollution Exposure -- 10. Surrogate Estimators for Complex Bi-Level Energy Management, etc.  aThe book is a comprehensive collection of extended contributions from the Workshops on Computational Optimization 2022. Our everyday life is unthinkable without optimization. We try to minimize our effort and to maximize the achieved profit. Many real world and industrial problems arising in engineering, economics, medicine, and other domains can be formulated as optimization tasks. This book presents recent advances in computational optimization. The book includes important real problems like modeling of physical processes, parameter settings for controlling different processes, agricultural modeling transportation problems, energy management, machine scheduling, air pollution modeling, optimization of fast-food restaurant chain, and solving engineering and financial problems. It shows how to develop algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming Monte Carlo method, and others. This book demonstrates how some real-world problems arising in engineering, economics, and other domains can be formulated as optimization problems. 0aComputational intelligence.964052 0aArtificial intelligence.958441 0aAlgorithms.95867714aComputational Intelligence.96405224aArtificial Intelligence.95844124aAlgorithms.9586771 aFidanova, Stefka.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9741152 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303157319408iPrinted edition:z978303157321708iPrinted edition:z9783031573224 0aStudies in Computational Intelligence,x1860-9503 ;v115896885440uhttps://doi.org/10.1007/978-3-031-57320-0  aZDB-2-INR  aZDB-2-SXIT  c58708d58708