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020 _a9783031573200
_9978-3-031-57320-0
024 7 _a10.1007/978-3-031-57320-0
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
245 1 0 _aRecent Advances in Computational Optimization
_h[electronic resource] :
_bSelected Papers from the WCO 2022 – Workshop on Computational Optimization /
_cedited by Stefka Fidanova.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aX, 315 p. 245 illus., 60 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v1158
505 0 _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.
520 _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.
650 0 _aComputational intelligence.
_964052
650 0 _aArtificial intelligence.
_958441
650 0 _aAlgorithms.
_958677
650 1 4 _aComputational Intelligence.
_964052
650 2 4 _aArtificial Intelligence.
_958441
650 2 4 _aAlgorithms.
_958677
700 1 _aFidanova, Stefka.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_974115
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031573194
776 0 8 _iPrinted edition:
_z9783031573217
776 0 8 _iPrinted edition:
_z9783031573224
830 0 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v1158
_968854
856 4 0 _uhttps://doi.org/10.1007/978-3-031-57320-0
912 _aZDB-2-INR
912 _aZDB-2-SXIT
999 _c58708
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