LEADER 01205nas 2200385- 450 001 996496558803316 005 20230830213017.0 011 $a2797-8923 035 $a(OCoLC)1352978050 035 $a(CKB)5490000000151566 035 $a(CONSER)--2023242682 035 $a(EXLCZ)995490000000151566 100 $a20230221a20219999 --- - 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aJournal of educational management and instruction 210 1$aKab. Sukoharjo :$cUIN Raden Mas Said Surakarta,$d2021- 215 $a1 online resource 311 $a2797-8931 517 1 $aJEMIn 606 $aSchool management and organization$zIndonesia$vPeriodicals 606 $aEducation$zIndonesia$vPeriodicals 606 $aTeaching$zIndonesia$vPeriodicals 608 $aPeriodicals.$2lcgft 615 0$aSchool management and organization 615 0$aEducation 615 0$aTeaching 712 02$aUniversitas Islam Negeri Raden Mas Said Surakarta, 906 $aJOURNAL 912 $a996496558803316 996 $aJournal of educational management and instruction$93576734 997 $aUNISA 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