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008			210806s2022 si | s |||| 0|eng d
020			_a9789811631283
024	7		_a10.1007/978-981-16-3128-3 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aT57.7 _b2022 EB
245	0	0	_aFrontiers in Nature-Inspired Industrial Optimization _cedited by Mahdi Khosravy, Neeraj Gupta, Nilesh Patel
250			_a1st edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XII, 235 páginas) _b94 ilustraciones, 76 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSpringer Tracts in Nature-Inspired Computing _x2524-5538
505	0		_aAssociation Rules Over Time -- A Study of Crossover Operators in Genetic Algorithms -- Memetic Strategies for Network Design Problems -- A Coronavirus Optimization Algorithm for Solving The Container Retrieval Problem -- Optimum Outlier Detection in Internet of Things Industries Using Autoencoder -- Particle Swarm Optimization Advances in Internet of Things Industry -- Reconfiguration of Electric Power Distribution Networks: A Typical Application of Metaheuristics in Electrical Power Field -- Reconfiguration of Electric Power Distribution Networks: A Typical Application of Metaheuristics in Electrical Power Field -- Multi Objective Optimization and Decision Making for Net Zero Energy Smart House -- Using Fuzzy Approach In Determining Critical Parameters for Optimum Safety Functions In Mega Projects (Case Study: Iran's Construction Industry) -- Using Fuzzy Approach in Determining Critical Parameters for Optimum Safety Functions in Mega Projects (Case Study: Iran's Construction Industry) -- Evolutionary Machine Learning Powered by Genetics Algorithm for Iot-Specific Health Monitoring of Agriculture Vehicles.
520			_aThe book provides a collection of recent applications of nature inspired optimization in industrial fields. Different optimization techniques have been deployed, and different problems have been effectively analyzed. The valuable contributions from researchers focus on three ultimate goals (i) improving the accuracy of these techniques, (ii) achieving higher speed and lower computational complexity, and (iii) working on their proposed applications. The book is helpful for active researchers and practitioners in the field. .
988			_aSpringer_Robotics_2022
650		7	_2embne _9145705 _aOptimización matemática
776	0	8	_iPrinted edition: _z9789811631276
776	0	8	_iPrinted edition: _z9789811631290
776	0	8	_iPrinted edition: _z9789811631306
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-3128-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2023 _dz _eu _zSI