LEADER 01838nam 2200385 450 001 9910688499003321 005 20230629142024.0 035 $a(CKB)5400000000042663 035 $a(NjHacI)995400000000042663 035 $a(EXLCZ)995400000000042663 100 $a20230629d2020 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aMulticriteria Optimization $epareto-optimality and threshold-optimality /$fedited by Nodari Vakhania, Frank Werner 210 1$aLondon :$cIntechOpen,$d2020. 210 4$dİ2020 215 $a1 online resource (108 pages) 311 $a1-83969-265-0 320 $aIncludes bibliographical references and index. 330 $aMulti-criteria optimization problems naturally arise in practice when there is no single criterion for measuring the quality of a feasible solution. Since different criteria are contradictory, it is difficult and often impossible to find a single feasible solution that is good for all the criteria. Hence, some compromise is needed. As such, this book examines the commonly accepted compromise of the traditional Pareto-optimality approach. It also proposes one new alternative approach for generating feasible solutions to multi-criteria optimization problems. Finally, the book presents two chapters on the existing solution methods for two real-life, multi-criteria optimization problems. 517 $aMulticriteria Optimization 606 $aMathematical optimization 615 0$aMathematical optimization. 676 $a519.3 702 $aWerner$b Frank 702 $aVakhania$b Nodari 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910688499003321 996 $aMulticriteria optimization$92954024 997 $aUNINA