LEADER 01146nam0-22002771i-450- 001 990001675350403321 005 20050927144213.0 035 $a000167535 035 $aFED01000167535 035 $a(Aleph)000167535FED01 035 $a000167535 100 $a20030910d1888----km-y0itay50------ba 101 0 $aita 200 1 $aDecreto e regolamento per la custodia, difesa e guardia dei corsi d'acqua ed opere idrauliche annesse compresi nella prima e seconda categoria a senso degli art. 93 e 94 della legge 20 marzo 1865, allegato F. 25 marzo 1888 - n. 5379$fItalia 210 $aTorino$cStamp. Gazzetta del Popolo$d1888 215 $a40 p.$d16 cm 610 0 $aOpere pubbliche 676 $a344.06 710 01$aItalia$0423419 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001675350403321 952 $a60 340 C 74$b4460$fFAGBC 959 $aFAGBC 996 $aDecreto e regolamento per la custodia, difesa e guardia dei corsi d'acqua ed opere idrauliche annesse compresi nella prima e seconda categoria a senso degli art. 93 e 94 della legge 20 marzo 1865, allegato F. 25 marzo 1888 - n. 5379$9370620 997 $aUNINA LEADER 02071nam 2200409 450 001 9910830755503321 005 20200610221238.8 010 $a1-119-61240-3 010 $a1-119-61247-0 010 $a1-119-61236-5 035 $a(CKB)4100000007934807 035 $a(MiAaPQ)EBC5748879 035 $a(CaSebORM)9781786304094 035 $a(EXLCZ)994100000007934807 100 $a20190427d2019 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIterative optimizers $edifficulty measures and benchmarks /$fMaurice Clerc 205 $a1st edition 210 1$aHoboken, New Jersey :$cISTE :$cWiley,$d2019. 215 $a1 online resource (215 pages) 311 $a1-78630-409-0 330 $aAlmost every month, a new optimization algorithm is proposed, often accompanied by the claim that it is superior to all those that came before it. However, this claim is generally based on the algorithm's performance on a specific set of test cases, which are not necessarily representative of the types of problems the algorithm will face in real life. This book presents the theoretical analysis and practical methods (along with source codes) necessary to estimate the difficulty of problems in a test set, as well as to build bespoke test sets consisting of problems with varied difficulties. The book formally establishes a typology of optimization problems, from which a reliable test set can be deduced. At the same time, it highlights how classic test sets are skewed in favor of different classes of problems, and how, as a result, optimizers that have performed well on test problems may perform poorly in real life scenarios. 606 $aMathematical optimization 615 0$aMathematical optimization. 676 $a519.3 700 $aClerc$b Maurice$0845965 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830755503321 996 $aIterative optimizers$94065263 997 $aUNINA