LEADER 01800nam 2200445 450 001 9910716952303321 005 20220107124438.0 035 $a(CKB)5470000002526673 035 $a(OCoLC)1285001721 035 $a(EXLCZ)995470000002526673 100 $a20211110d2016 ua 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHow might legal recognition of household same-sex marriage affect retirement incomes and federal programs? /$fKaren E. Smith, Stephen Rose, Damir Cosic 210 1$a[Washington, D.C.] :$cU.S. Department of Labor, Employee Benefits Security Administration,$d2016. 215 $a1 online resource (approximately 102 pages) : color illustrations 300 $a"November 2016." 320 $aIncludes bibliographical references (pages 89-91). 606 $aSame-sex marriage$xLaw and legislation$zUnited States 606 $aSame-sex marriage$zUnited States$xEconomic conditions 606 $aRetirement income$zUnited States$xForecasting 606 $aSocial security$zUnited States$xForecasting 615 0$aSame-sex marriage$xLaw and legislation 615 0$aSame-sex marriage$xEconomic conditions. 615 0$aRetirement income$xForecasting. 615 0$aSocial security$xForecasting. 700 $aSmith$b Karen E.$065677 702 $aRose$b Stephen 702 $aCosic$b Damir 712 02$aUnited States.$bDepartment of Labor.$bEmployee Benefits Security Administration, 712 02$aUrban Institute, 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910716952303321 996 $aHow might legal recognition of household same-sex marriage affect retirement incomes and federal programs$93512706 997 $aUNINA LEADER 02239nam 2200433 450 001 9910317752303321 005 20240112203144.0 010 $a953-51-5717-5 035 $a(CKB)4970000000098561 035 $a(NjHacI)994970000000098561 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/66429 035 $a(EXLCZ)994970000000098561 100 $a20221017d2013 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAnt Colony Optimization $eTechniques and Applications /$fHelio J. C. Barbosa, editor 210 $cIntechOpen$d2013 210 1$aRijeka, Croatia :$cIntechOpen,$d[2013] 210 4$dİ2013 215 $a1 online resource (214 pages) $cillustrations 311 $a953-51-1001-2 320 $aIncludes bibliographical references and index. 330 $aAnt Colony Optimization (ACO) is the best example of how studies aimed at understanding and modeling the behavior of ants and other social insects can provide inspiration for the development of computational algorithms for the solution of difficult mathematical problems. Introduced by Marco Dorigo in his PhD thesis (1992) and initially applied to the travelling salesman problem, the ACO field has experienced a tremendous growth, standing today as an important nature-inspired stochastic metaheuristic for hard optimization problems. This book presents state-of-the-art ACO methods and is divided into two parts: (I) Techniques, which includes parallel implementations, and (II) Applications, where recent contributions of ACO to diverse fields, such as traffic congestion and control, structural optimization, manufacturing, and genomics are presented. 517 $aAnt colony optimization 606 $aAnts$xBehavior$xMathematical models 610 $aComputer programming / software development 615 0$aAnts$xBehavior$xMathematical models. 676 $a595.796 700 $aBarbosa$b Helio J.C$4edt$01460884 702 $aBarbosa$b Helio J. C. 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910317752303321 996 $aAnt Colony Optimization$93661039 997 $aUNINA