000			03249cam a2200421Ii 4500
001			94626
003			ES-MaUEC
005			20230102112624.0
006			m o d
007			cr cnu---unuuu
008			160927s2017 sz a ob 000 0 eng d
020			_a3319442546 _q(electronic bk.)
020			_a9783319442549 _q(electronic bk.)
020			_z3319442538 _q(print)
020			_z9783319442532 _q(print)
035			_a(OCoLC)959278160 _z(OCoLC)959330646 _z(OCoLC)962396459 _z(OCoLC)974650834 _z(OCoLC)981103068 _z(OCoLC)1005809256
040			_aN$T _cN$T _dIDEBK _dEBLCP _dGW5XE _dN$T _dAZU _dCCO _dYDX _dOCLCF _dCOO _dIDB _dMERUC _dUAB _dUPM _dVT2 _dUWO _dIOG _dESU _dJBG _dIAD _dICW _dICN _dOTZ _dOCLCQ _dU3W _dES-MaUEC _bspa
050		4	_aQ342 _b.K855 2017 EB
100	1		_aKulkarni, Anand Jayant, _eautor
245	1	0	_aCohort intelligence : _ba socio-inspired optimization method _cAnand Jayant Kulkarni, Ganesh Krishnasamy, Ajith Abraham.
264		1	_aCham, Switzerland _bSpringer _c2017.
300			_a1 recurso en línea (xi, 134 páginas) _bilustraciones
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	0		_aIntelligent systems reference library _x1868-4394 _vvolume 114
500			_aSpringerLink _bSpringer Engineering eBooks 2017 English+International
504			_aIncluye referencias bibliográficas
505	0		_aIntroduction To Optimization -- Socio-Inspired Optimization Using Cohort Intelligence -- Cohort Intelligence For Constrained Test Problems -- Modified Cohort Intelligence For Solving Machine Learning Problems -- Solution To 0-1 Knapsack Problem Using Cohort Intelligence Algorithm -- Cohort Intelligence For Solving Travelling Salesman Problems -- Solution To A New Variant Of The Assignment Problem Using Cohort Intelligence Algorithm -- Solution To Sea Cargo Mix (Scm) Problem Using Cohort Intelligence Algorithm -- Solution To The Selection Of Cross-Border Shippers (Scbs) Problem -- Conclusions And Future Directions.
520	3		_aThis Volume discusses the underlying principles and analysis of the different concepts associated with an emerging socio-inspired optimization tool referred to as Cohort Intelligence (CI). CI algorithms have been coded in Matlab and are freely available from the link provided inside the book. The book demonstrates the ability of CI methodology for solving combinatorial problems such as Traveling Salesman Problem and Knapsack Problem in addition to real world applications from the healthcare, inventory, supply chain optimization and Cross-Border transportation. The inherent ability of handling constraints based on probability distribution is also revealed and proved using these problems. .
650		7	_aOptimización combinatoria _2embne _0(OCoLC)fst00868980 _0 _9157651
700	1		_aAbraham, Ajith _d1968- _eautor _945309
700	1		_aKrishnasamy, Ganesh, _eautor
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-44254-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988			_aEBOOK, asignarmaterias, EBSPRINGER_2017A
998			_b02/2018 _dz _e- _zSI
999			_c94626 _d94626 _x1