LEADER 01470nas 2200457-a 450 001 9910315221803321 005 20240113213019.0 011 $a1834-7533 024 8 $aISSN/APR2007 035 $a(OCoLC)225392871 035 $a(CKB)958480179719 035 $a(CONSER)--2009220318 035 $a(EXLCZ)99958480179719 100 $a20070417a19849999 s-- a 101 0 $aeng 135 $aurmn|nnn|nn|| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aExploration geophysics $ethe bulletin of the Australian Society of Exploration Geophysicists 210 $a[Oxford] ;$a[Boston] $c[Blackwell Scientific Publications]$d[1984]- 210 31$aLondon :$cTaylor & Francis 300 $aRefereed/Peer-reviewed 311 $a0812-3985 531 $aEXPLOR GEOPHYS 531 $aEXPLOR. GEOPHYS 606 $aProspecting$xGeophysical methods$vPeriodicals 606 $aGeophysics$vPeriodicals 606 $aGeophysics$2fast$3(OCoLC)fst00941002 606 $aProspecting$xGeophysical methods$2fast$3(OCoLC)fst01079424 608 $aPeriodicals.$2fast 615 0$aProspecting$xGeophysical methods 615 0$aGeophysics 615 7$aGeophysics. 615 7$aProspecting$xGeophysical methods. 676 $a622.15 712 02$aAustralian Society of Exploration Geophysicists. 906 $aJOURNAL 912 $a9910315221803321 996 $aExploration geophysics$92583469 997 $aUNINA LEADER 04018nam 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 $aMarti?$b Rafael$00 701 $aPardalos$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