LEADER 01615nam 2200481 450 001 996464505603316 005 20231110233458.0 010 $a3-030-89453-3 035 $a(CKB)5140000000014254 035 $a(MiAaPQ)EBC6784169 035 $a(Au-PeEL)EBL6784169 035 $a(OCoLC)1277185412 035 $a(PPN)258297573 035 $a(EXLCZ)995140000000014254 100 $a20220709d2021 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aMonte Carlo Search $efirst workshop, MCS 2020, held in conjunction with IJCAI 2020, virtual event, January 7, 2021, Proceedings /$fedited by Tristan Cazenave, Olivier Teytaud, and Mark H. M. Winands 210 1$aCham, Switzerland :$cSpringer,$d[2021] 210 4$dİ2021 215 $a1 online resource (150 pages) 225 1 $aCommunications in Computer and Information Science ;$vv.1379 300 $aIncludes index. 311 $a3-030-89452-5 410 0$aCommunications in Computer and Information Science 606 $aMonte Carlo method$xData processing$vCongresses 606 $aMonte Carlo method$xData processing 615 0$aMonte Carlo method$xData processing 615 0$aMonte Carlo method$xData processing. 676 $a518.282 702 $aTeytaud$b Olivier 702 $aCazenave$b Tristan 702 $aWinands$b Mark H. M.$f1978- 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996464505603316 996 $aMonte Carlo Search$92897004 997 $aUNISA