LEADER 01149nam a22002651i 4500 001 991004081819707536 005 20031003083328.0 008 031111s1989 uik|||||||||||||||||eng 020 $a0192822241 035 $ab12517306-39ule_inst 035 $aARCHE-055057$9ExL 040 $aDip.to Lingue$bita$cA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l. 082 04$a823.5 100 1 $aDefoe, Daniel$069634 245 14$aThe history and remarkable life of the truly honourable col. Jacque commonly call'd col. Jack ... /$cDaniel Defoe ; edited by Samuel Holt Monk ; with a new introduction by David Roberts 260 $aOxford :$bOxford University press,$c1989 300 $aXXXIII, 317 p. ;$c18 cm 440 4$aThe worlds classics 700 1 $aMonk, Samuel Holt 907 $a.b12517306$b02-04-14$c13-11-03 912 $a991004081819707536 945 $aLE012 828.5 DEF 5$g1$i2012000135857$lle012$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i12956612$z13-11-03 996 $aHistory and remarkable life of the truly honourable col. Jacque commonly call'd col. Jack ..$9184066 997 $aUNISALENTO 998 $ale012$b13-11-03$cm$da $e-$feng$guik$h4$i1 LEADER 04013nam 2200613Ia 450 001 9910734094903321 005 20200520144314.0 010 $a1-4614-6322-X 024 7 $a10.1007/978-1-4614-6322-1 035 $a(CKB)2670000000340902 035 $a(EBL)1106261 035 $a(OCoLC)829936666 035 $a(SSID)ssj0000870667 035 $a(PQKBManifestationID)11454955 035 $a(PQKBTitleCode)TC0000870667 035 $a(PQKBWorkID)10818557 035 $a(PQKB)11613847 035 $a(DE-He213)978-1-4614-6322-1 035 $a(MiAaPQ)EBC1106261 035 $a(PPN)168305054 035 $a(EXLCZ)992670000000340902 100 $a20130313d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aAdvances in metaheuristics /$fLuca Di Gaspero, Andrea Schaerf, Thomas Stutzle, editors 205 $a1st ed. 2013. 210 $aNew York $cSpringer$dc2013 215 $a1 online resource (192 p.) 225 1 $aOperations research/Computer science interfaces series,$x1387-666X ;$vv.53 300 $aDescription based upon print version of record. 311 $a1-4899-9187-5 311 $a1-4614-6321-1 320 $aIncludes bibliographical references. 327 $aFinite First Hitting Time versus Stochastic convergence in Particle Swarm Optimisation -- Using Performance Profiles for the Analysis and Design of Benchmark Experiments -- Real-World Parameter Tuning using Factorial Design with Parameter Decomposition -- Evolving Pacing Strategies for Team Pursuit Track Cycling -- A Dual Mutation Operator to Solve the Multi-objective Production Planning of Perishable Goods -- Brain cine-MRI Registration using MLSDO Dynamic Optimization Algorithm -- GRASP with Path Relinking for the Two-Echelon Vehicle Routing Problem -- A Hybrid (1+1)-Evolutionary Strategy for the Open Vehicle Routing Problem -- A Timeslot-Filling Heuristic Approach to Construct High-School Timetables -- A GRASP for Supply Chain Optimization with Financial Constraints per Production Unit. 330 $aMetaheuristics have been a very active research topic for more than two decades. During this time many new metaheuristic strategies have been devised, they have been experimentally tested and improved on challenging benchmark problems, and they have proven to be important tools for tackling optimization tasks in a large number of practical applications. In other words, metaheuristics are nowadays established as one of the main search paradigms for tackling computationally hard problems. Still, there are a large number of research challenges in the area of metaheuristics. These challenges range from more fundamental questions on theoretical properties and performance guarantees, empirical algorithm analysis, the effective configuration of metaheuristic algorithms, approaches to combine metaheuristics with other algorithmic techniques, towards extending the available techniques to tackle ever more challenging problems. This edited volume grew out of the contributions presented at the ninth Metaheuristics International Conference that was held in Udine, Italy, 25-28 July 2011. The conference comprised 117 presentations of peer-reviewed contributions and 3 invited talks, and it has been attended by 169 delegates. The chapters that are collected in this book exemplify contributions to several of the research directions outlined above. 410 0$aOperations research/computer science interfaces series ;$vv.53. 606 $aOperations research 606 $aMathematical optimization 615 0$aOperations research. 615 0$aMathematical optimization. 676 $a519.6 701 $aDi Gaspero$b Luca$0607115 701 $aSchaerf$b Andrea$01759409 701 $aStutzle$b Thomas$0432894 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910734094903321 996 $aAdvances in metaheuristics$94197857 997 $aUNINA