LEADER 02052nam0 22004573i 450 001 PUV0075458 005 20251003044310.0 100 $a20190214d1977 ||||0itac50 ba 101 | $aita 102 $ait 181 1$6z01$ai $bxxxe 182 1$6z01$an 183 1$6z01$anc$2RDAcarrier 200 1 $aPiccolo e bello$euno studio di economia come se la gente contasse qualcosa$fE.F. Schumacher$gtraduzione di Daniele Doglio 210 $aMilano$cA. Mondadori $dc 1977 215 $a249 p.$d19 cm 225 | $aOscar saggi$v24 410 0$1001CFI0000434$12001 $aOscar saggi$v24 500 10$aSmall is beautiful$3MIL0103852$9TO0V039680$9843952 606 $aEconomia politica$2FIR$3MILC113608$9E 606 $aSviluppo economico$2FIR$3CFIC013228$9E 606 $aSviluppo economico$xAspetti sociali$2FIR$3SBLC061348$9I 676 $a339.5$9POLITICA MACROECONOMICA$v23 676 $a824.91$9SAGGISTICA INGLESE. SEC. 20.$v17 696 $aCrescita economica 696 $aCrescita economica 699 $aSviluppo economico$yCrescita economica 699 $aSviluppo economico$yCrescita economica 700 1$aSchumacher$b, Ernst Friedrich$3TO0V039680$4070$032478 702 1$aDoglio$b, Daniele$3MILV101517 790 1$aSchumacher$b, Ernst F.$3CFIV151903$zSchumacher, Ernst Friedrich 790 1$aSchumacher$b, E.$3CFIV151904$zSchumacher, Ernst Friedrich 790 1$aSchumacher$b, E. F.$3TO0V157294$zSchumacher, Ernst Friedrich 801 3$aIT$bIT-000000$c20190214 850 $aIT-BN0095 901 $bNAP 01$cPOZZO LIB.$nVi sono collocati fondi di economia, periodici di ingegneria e scienze, periodici di economia e statistica e altri fondi comprendenti documenti di economia pervenuti in dono. 912 $aPUV0075458 950 0$aBiblioteca Centralizzata di Ateneo$c1 v.$d 01POZZO LIB.F. SANTI 30$e 0101 0060028865E VMA 1 v. (Precedente collocazione S 96)$fB $h20221103$i20221103 977 $a 01 996 $aSmall is beautiful$9843952 997 $aUNISANNIO LEADER 03596oam 2200601I 450 001 9910153185703321 005 20240501163852.0 010 $a1-315-29763-9 010 $a1-315-29765-5 010 $a1-315-29764-7 024 7 $a10.1201/9781315297651 035 $a(CKB)3710000000960806 035 $a(MiAaPQ)EBC4748360 035 $a(OCoLC)964527735 035 $a(BIP)72183923 035 $a(BIP)61866342 035 $a(EXLCZ)993710000000960806 100 $a20180331h20172017 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aAdvances in metaheuristics $eapplications in engineering systems /$fTimothy Ganesan, PhD, Pandian Vasant, PhD, Irraivan Elamvazuthi, PhD 205 $a1st ed. 210 1$aBoca Raton :$cCRC Press,$d[2017] 210 4$dİ2017 215 $a1 online resource (234 pages) 311 08$a1-138-45562-8 311 08$a1-4987-1548-6 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $apart I. Energy systems -- part II. Process optimization -- part III. Material engineering. 330 $aAdvances in Metaheuristics: Applications in Engineering Systems provides details on current approaches utilized in engineering optimization. It gives a comprehensive background on metaheuristic applications, focusing on main engineering sectors such as energy, process, and materials. It discusses topics such as algorithmic enhancements and performance measurement approaches, and provides insights into the implementation of metaheuristic strategies to multi-objective optimization problems. With this book, readers can learn to solve real-world engineering optimization problems effectively using the appropriate techniques from emerging fields including evolutionary and swarm intelligence, mathematical programming, and multi-objective optimization. The ten chapters of this book are divided into three parts. The first part discusses three industrial applications in the energy sector. The second focusses on process optimization and considers three engineering applications: optimization of a three-phase separator, process plant, and a pre-treatment process. The third and final part of this book covers industrial applications in material engineering, with a particular focus on sand mould-systems. It also includes discussions on the potential improvement of algorithmic characteristics via strategic algorithmic enhancements. This book helps fill the existing gap in literature on the implementation of metaheuristics in engineering applications and real-world engineering systems. It will be an important resource for engineers and decision-makers selecting and implementing metaheuristics to solve specific engineering problems. 606 $aIndustrial engineering$xMathematics 606 $aElectric power systems$xMathematics 606 $aMaterials science$xMathematics 606 $aMathematical optimization 606 $aHeuristic algorithms 615 0$aIndustrial engineering$xMathematics. 615 0$aElectric power systems$xMathematics. 615 0$aMaterials science$xMathematics. 615 0$aMathematical optimization. 615 0$aHeuristic algorithms. 676 $a620.00285/63 700 $aGanesan$b Timothy$01213681 702 $aVasant$b Pandian 702 $aElamvazuthi$b Irraivan 801 0$bFlBoTFG 801 1$bFlBoTFG 906 $aBOOK 912 $a9910153185703321 996 $aAdvances in metaheuristics$92802921 997 $aUNINA