LEADER 03595nam 22005775 450 001 9910482955403321 005 20200705004348.0 010 $a3-319-99648-7 024 7 $a10.1007/978-3-319-99648-6 035 $a(CKB)4100000006675000 035 $a(DE-He213)978-3-319-99648-6 035 $a(MiAaPQ)EBC5918548 035 $a(PPN)243768907 035 $a(EXLCZ)994100000006675000 100 $a20181109d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRecent Advances in Computational Optimization $eResults of the Workshop on Computational Optimization WCO 2017 /$fedited by Stefka Fidanova 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (X, 236 p. 76 illus., 40 illus. in color.) 225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v795 311 $a3-319-99647-9 320 $aIncludes bibliographical references and index. 327 $aChapter 1. Contraction methods for correlation clustering: the order is important (Laszlo Aszal´os) -- Chapter 2. Optimisation of Preparedness and Response of Health services in major crises using the IMPRESS platform (Nina Dobrinkova) -- Chapter 3. The new approach for dynamic optimization with variability constraints (Pawel Drag) -- Chapter 4. Intercriteria Analisys of ACO Performance for Workforce Planning Problem (Olympia Roeva) etc. 330 $aOur everyday lives are practically unthinkable without optimization. We constantly try to minimize our effort and to maximize the reward or progress achieved. Many real-world and industrial problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks. This volume presents a comprehensive collection of extended contributions from the 2017 Workshop on Computational Optimization. Presenting recent advances in computational optimization, it addresses important concrete applications, e.g. the modeling of physical processes, wildfire modeling, modeling processes in chemical engineering, workforce planning, wireless access network topology, parameter settings for controlling various processes, berth allocation, identification of homogeneous domains, and quantum computing. The book shows how to develop algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming and others. 410 0$aStudies in Computational Intelligence,$x1860-949X ;$v795 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 $a006.3 702 $aFidanova$b Stefka$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910482955403321 996 $aRecent Advances in Computational Optimization$92916704 997 $aUNINA