LEADER 01093nam0-22003851i-450- 001 990001440800403321 005 20100908160522.0 010 $a0-471-95383-0 035 $a000144080 035 $aFED01000144080 035 $a(Aleph)000144080FED01 035 $a000144080 100 $a20001205d1995----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $aa---a---001yy 200 1 $aAdvanced scientific fortran$fDavid R. Willè 210 $aChichester [England]$cWiley$dc1995 215 $axvii, 234 p.$cill.$d24 cm 610 0 $aComputer science 610 0 $aLinguaggi di programmazione 610 0 $aFortran 676 $a005.133 700 1$aWillé,$bDavid R.$0351217 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001440800403321 952 $aEDISU-005.133-6A$b20153$fSC1 952 $aEDISU-005.133-6$b20152$fSC1 952 $aEDISU-005.133-6B$b20154$fSC1 952 $aEDISU-005.133-6D$b20166$fSC1 952 $aEDISU-005.133-6C$b20155$fSC1 959 $aSC1 996 $aAdvanced scientific Fortran$9374438 997 $aUNINA LEADER 04022nam 22007695 450 001 9911034939503321 005 20251017130421.0 010 $a3-032-00385-7 024 7 $a10.1007/978-3-032-00385-0 035 $a(MiAaPQ)EBC32362918 035 $a(Au-PeEL)EBL32362918 035 $a(CKB)41653820600041 035 $a(DE-He213)978-3-032-00385-0 035 $a(OCoLC)1546968508 035 $a(EXLCZ)9941653820600041 100 $a20251017d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHandbook of Heuristics /$fedited by Rafael Martí, Panos M. Pardalos, Mauricio G.C. Resende 205 $a2nd ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (0 pages) 225 1 $aMathematics and Statistics Series 311 08$a3-032-00384-9 327 $aAdaptive and Multi-Level Metaheuristics -- Biased Random-Key Genetic Programming -- Data Mining in Heuristics -- Deep Learning in Search Heuristics -- Evolution Strategies -- Evolutionary Algorithms -- Innovative Applications of Metaheuristics to Supervised Machine Learning -- Matheuristics by Examples -- Multi-start Methods -- Multiobjective Optimization -- Quantum-Inspired Heuristics -- Restart Strategies -- Simheuristics -- The Hybrid Metaheuristic CMSA -- Constraint-Based Local Search -- Guided Local Search -- Theory of Local Search. 330 $a The handbook of heuristics consists of five main parts: search strategies, local search, metaheuristics, analysis and implementations, and applications. They cover from search methods and methodological aspects, such as matheuristics, the exciting field in which mathematical programming is combined with heuristics, to applications that provide the practitioner with a description of some relevant optimization issues in a number of specific application areas, such as scheduling, vehicle routing, or network optimization. The first edition of the Handbook of Heuristics was published in 2018 and contained 47 chapters. In this second edition, the authors revised 30 of them to include new developments in the area that appeared in the last few years. In particular, the reader may find 14 chapters in search strategies, including a new chapter on deep learning, 4 in local search, 14 in metaheuristics, 5 in analysis and implementations, and 24 in applications. The inclusion of 14 new chapters makes this second edition even more comprehensive, totaling 61 chapters. 410 0$aMathematics and Statistics Series 606 $aAlgorithms 606 $aMathematical optimization 606 $aMathematical analysis 606 $aEngineering mathematics 606 $aEngineering$xData processing 606 $aComputer science$xMathematics 606 $aComputer software 606 $aAlgorithms 606 $aOptimization 606 $aAnalysis 606 $aMathematical and Computational Engineering Applications 606 $aMathematical Applications in Computer Science 606 $aMathematical Software 615 0$aAlgorithms. 615 0$aMathematical optimization. 615 0$aMathematical analysis. 615 0$aEngineering mathematics. 615 0$aEngineering$xData processing. 615 0$aComputer science$xMathematics. 615 0$aComputer software. 615 14$aAlgorithms. 615 24$aOptimization. 615 24$aAnalysis. 615 24$aMathematical and Computational Engineering Applications. 615 24$aMathematical Applications in Computer Science. 615 24$aMathematical Software. 676 $a518.1 700 $aMartí$b Rafael$0510717 701 $aPardalos$b Panos M$0318341 701 $aResende$b Mauricio G. C$0282953 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911034939503321 996 $aHandbook of Heuristics$94449504 997 $aUNINA