000			04052nam a22003375i 4500
001			103982
003			DE-He213
005			20240111050148.0
007			cr nn 008mamaa
008			141227s2015 gw | s |||| 0|eng d
020			_a9783319138268
024	7		_a10.1007/978-3-319-13826-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
050		4	_aQ337.3 2015 EB
245	1	0	_aRecent Advances in Swarm Intelligence and Evolutionary Computation _cedited by Xin-She Yang.
264		1	_aCham _bSpringer International Publishing _c2015
300			_a1 recurso en línea (XI, 300 páginas 94 ilustraciones, 15 ilustraciones a color.)
490	0		_aStudies in Computational Intelligence _x1860-949X ; _v585
505	0		_aSwarm Intelligence and Evolutionary Computation: Overview and Analysis -- Globally convergent hybridization of particle swarm optimization using line search-based derivative-free techniques Fireflies in the Fruits and Vegetables: Combining the Firefly Algorithm with Goal Programming for Setting Optimal Osmotic Dehydration Parameters of Produce -- Hybrid Metaheuristic Algorithms: Past, Present and Future -- Binary Flower Pollination Algorithm and Its Application to Feature Selection -- Bat Algorithm Application for the Single Row Facility Layout Problem -- Discrete Cuckoo Search Applied to Job Shop Scheduling Problem -- Cuckoo Search and Bat Algorithm Applied to Training Feed-Forward Neural Networks -- The Potential of the Firefly Algorithm for Damage Localization and Stiffness Identification -- Synthesizing Cross-Ambiguity Functions Using An Improved Bat Algorithm -- Sustainable Building Design: A Review on Recent Metaheuristic Methods -- Firefly Algorithm for Flow Shop Optimization -- Evaluation of Harmony Search and Differential Evolution Optimization Algorithms on Solving the Booster Station Optimization Problems in Water Distribution Networks -- Web Document Clustering by Using PSO-Based Cuckoo Search Clustering Algorithm -- Analysis of Trusses Using Particle Swarm Optimization.
520	3		_aThis timely review volume summarizes the state-of-the-art developments in nature-inspired algorithms and applications with the emphasis on swarm intelligence and bio-inspired computation. Topics include the analysis and overview of swarm intelligence and evolutionary computation, hybrid metaheuristic algorithms, bat algorithm, discrete cuckoo search, firefly algorithm, particle swarm optimization, and harmony search as well as convergent hybridization. Application case studies have focused on the dehydration of fruits and vegetables by the firefly algorithm and goal programming, feature selection by the binary flower pollination algorithm, job shop scheduling, single row facility layout optimization, training of feed-forward neural networks, damage and stiffness identification, synthesis of cross-ambiguity functions by the bat algorithm, web document clustering, truss analysis, water distribution networks, sustainable building designs and others. As a timely review, this book can serve as an ideal reference for graduates, lecturers, engineers and researchers in computer science, evolutionary computing, artificial intelligence, machine learning, computational intelligence, data mining, engineering optimization and designs.
650		7	_aComputación evolutiva _2embne _9667195
650		7	_aInteligencia artificial _2embne _9413115
700	1		_aYang, Xin-She. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/nb2006017401 _1http://viaf.org/viaf/83434956/ _997941
776	0	8	_iEdición impresa: _z9783319138275
776	0	8	_iEdición impresa: _z9783319138251
776	0	8	_iEdición impresa: _z9783319356815
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-13826-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490	0		_aEngineering (Springer-11647)
988			_aEBSPRINGER_2018
998			_b06/2019 _dz _ek _feng _ggw _h0
999			_c103982 _d103982 _x1