LEADER 03622nam 22005655 450 001 9910299903403321 005 20200630084331.0 010 $a3-319-59861-9 024 7 $a10.1007/978-3-319-59861-1 035 $a(CKB)4340000000062746 035 $a(DE-He213)978-3-319-59861-1 035 $a(MiAaPQ)EBC5578754 035 $a(PPN)202988813 035 $a(EXLCZ)994340000000062746 100 $a20170627d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRecent Advances in Computational Optimization $eResults of the Workshop on Computational Optimization WCO 2016 /$fedited by Stefka Fidanova 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (X, 235 p. 50 illus., 42 illus. in color.) 225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v717 311 $a3-319-59860-0 327 $aSequential Predictive Scheduling in Partitioned Data Domains -- Wild?re Optimizations in Modeling and Calibrations for Bulgarian Test Cases -- Process Control with the Variability Constraints -- Comparison of Di?erent ACO Start Strategies Based on InterCriteria Analysis -- Evolutionary Approach for Tuning of Longwall Scraper Conveyor Model -- Solving Graph Partitioning Problems with Parallel Metaheuristics -- Comparison of Selected Fuzzy PSO Algorithms. 330 $aThis book presents new optimization approaches and methods and their application in real-world and industrial problems, and demonstrates how many of the problems arising in engineering, economics and other domains can be formulated as optimization problems. Constituting a comprehensive collection of extended contributions from the 9th International Workshop on Computational Optimization (WCO) held in Gdansk, Poland, September 11?14, 2016, the book discusses important applications such as job scheduling, wildfire modeling, parameter settings for controlling different processes, capital budgeting, data mining, finding the location of sensors in a given network, identifying the conformation of molecules, algorithm correctness, decision support system, and computer memory management. Further, it shows how to develop algorithms for these based on new intelligent methods like evolutionary computations, ant colony optimization and constraint programming. The book is a valuable resource for researchers and practitioners alike. 410 0$aStudies in Computational Intelligence,$x1860-949X ;$v717 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aMathematical optimization 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 $aOptimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26008 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aMathematical optimization. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aOptimization. 676 $a519.3 702 $aFidanova$b Stefka$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299903403321 996 $aRecent Advances in Computational Optimization$92916704 997 $aUNINA