LEADER 03716nam 22005655 450 001 9910483596403321 005 20200706202217.0 010 $a3-030-22723-5 024 7 $a10.1007/978-3-030-22723-4 035 $a(CKB)4100000008493455 035 $a(DE-He213)978-3-030-22723-4 035 $a(MiAaPQ)EBC5941237 035 $a(PPN)243769318 035 $a(EXLCZ)994100000008493455 100 $a20190621d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRecent Advances in Computational Optimization $eResults of the Workshop on ?Computational Optimization? and ?Numerical Search and Optimization? 2018 /$fedited by Stefka Fidanova 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (X, 237 p. 114 illus., 65 illus. in color.) 225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v838 311 $a3-030-22722-7 327 $aPreface -- Organization -- Chapter 1. Developing a Method for Measuring the Failover Times of First Hop Redundancy within Video Networks -- Chapter 2. Desktop application developed by open source tools for optimizations in cases of natural hazards and ?eld response. Chapter 3. Data optimizations on Kresna Fire (2017) as inputs for WFA simulations -- Chpater 4. Solving Sorting of Rolling Stock Problems utilizing pseudochain structures in Graphs, etc. 330 $aThe book presents a comprehensive collection of extended contributions from the Workshops on Computational Optimization and Numerical Search and Optimization 2018. Our everyday life is unthinkable without optimization as we try to minimize our effort while maximizing profit. Many real-world and industrial problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks. The book discusses recent advances in computational optimization to address important real-world problems like modeling of physical processes, wildfire, natural hazards and metal nanostructures, workforce planning, wireless network topology, parameter settings for controlling different processes, extracting elements from video clips, and management of cloud computing environment. It shows readers how to develop algorithms for these problems based on new intelligent methods like evolutionary computations, ant colony optimization, and constraint programming, and demonstrates how some real-world problems arising in engineering, economics and other domains can be formulated as optimization problems. 410 0$aStudies in Computational Intelligence,$x1860-949X ;$v838 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aAlgorithms 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aAlgorithms$3https://scigraph.springernature.com/ontologies/product-market-codes/M14018 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aAlgorithms. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aAlgorithms. 676 $a518.1 702 $aFidanova$b Stefka$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483596403321 996 $aRecent Advances in Computational Optimization$92916704 997 $aUNINA