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008			190329s2019 si a s |||| 0|eng d
020			_a9789811365690 _9
024	7		_a10.1007/978-981-13-6569-0 _2doi
040			_bspa _aES-MaUEC _cES-MaUEC
050		4	_aQ342 _b2019 EB
245	0	0	_aSocio-cultural Inspired Metaheuristics _cedited by Anand J. Kulkarni, Pramod Kumar Singh, Suresh Chandra Satapathy, Ali Husseinzadeh Kashan, Kang Tai.
264		1	_aSingapore _bSpringer Singapore : _bImprint: Springer _c2019.
300			_a1 recurso en línea (X, 303 páginas) _b155 ilustraciones,69 ilustraciones a color
347			_atext file _bPDF
490	0		_aStudies in Computational Intelligence _x1860-949X _v828
505	0		_aOptimum Design of Four Mechanical Elements Using Cohort Intelligence Algorithm -- Premier League Championship Algorithm: a multi-population based Algorithm and its Application on Structural Design Optimization -- Socio-inspired Optimization Metaheuristics: A Review -- Social Group Optimization Algorithm for Pattern Optimization in Antenna Arrays -- A Self-organizing Multi-agent Cooperative Robotic System: An Application of Cohort Intelligence Algorithm -- Feature Selection for Vocal Segmentation Using Social Emotional Optimization Algorithm -- Simultaneous Size and Shape Optimization of Dome-shaped Structures Using Improved Cultural Algorithm -- A Socio-Based Cohort Intelligence Algorithm for Integer Discrete and Mixed Design Variables Engineering Problems -- Maximizing Profits in Crop Planning Using Socio Evolution and Learning Optimization -- Application of Cohort- intelligence Variations Designing Fractional PID Controller for Various Systems.
520	3		_aThis book presents the latest insights and developments in the field of socio-cultural inspired algorithms. Akin to evolutionary and swarm-based optimization algorithms, socio-cultural algorithms belong to the category of metaheuristics (problem-independent computational methods) and are inspired by natural and social tendencies observed in humans by which they learn from one another through social interactions. This book is an interesting read for engineers, scientists, and students studying/working in the optimization, evolutionary computation, artificial intelligence (AI) and computational intelligence fields.
650		7	_aInteligencia artificial _2embne _9413115
700	1		_aKulkarni, Anand J. _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aSingh, Pramod Kumar _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aSatapathy, Suresh Chandra _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _998975
700	1		_aHusseinzadeh Kashan, Ali _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aTai, Kang _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service) _9106996
776	0	8	_iPrinted edition: _z9789811365683
776	0	8	_iPrinted edition: _z9789811365706
776	0	8	_iPrinted edition: _z9789811365713
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-13-6569-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
942			_2lcc _cLE
988			_aPrimersemestre_2019_Robotics
998			_aSI _a_alco _a_vill _b10/2019 _cm _dz _ea _feng _ggw _h0
999			_c111628 _d111628 _x1