000			02909nam a22005055i 4500
001			978-3-319-19635-0
003			DE-He213
005			20200420221248.0
007			cr nn 008mamaa
008			150616s2016 gw | s |||| 0|eng d
020			_a9783319196350 _9978-3-319-19635-0
024	7		_a10.1007/978-3-319-19635-0 _2doi
050		4	_aQ342
072		7	_aUYQ _2bicssc
072		7	_aCOM004000 _2bisacsh
082	0	4	_a006.3 _223
100	1		_aCouceiro, Micael. _eauthor.
245	1	0	_aFractional Order Darwinian Particle Swarm Optimization _h[electronic resource] : _bApplications and Evaluation of an Evolutionary Algorithm / _cby Micael Couceiro, Pedram Ghamisi.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016.
300			_aX, 75 p. 27 illus., 24 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aSpringerBriefs in Applied Sciences and Technology, _x2191-530X
505	0		_aParticle Swarm Optimization (PSO) -- Fractional Order Darwinian PSO (FODPSO) -- Case Study I: Curve Fitting -- Case Study II: Image Segmentation -- Case Study III: Swarm Robotics -- Conclusions.
520			_aThis book examines the bottom-up applicability of swarm intelligence to solving multiple problems, such as curve fitting, image segmentation, and swarm robotics. It compares the capabilities of some of the better-known bio-inspired optimization approaches, especially Particle Swarm Optimization (PSO), Darwinian Particle Swarm Optimization (DPSO) and the recently proposed Fractional Order Darwinian Particle Swarm Optimization (FODPSO), and comprehensively discusses their advantages and disadvantages. Further, it demonstrates the superiority and key advantages of using the FODPSO algorithm, such as its ability to provide an improved convergence towards a solution, while avoiding sub-optimality. This book offers a valuable resource for researchers in the fields of robotics, sports science, pattern recognition and machine learning, as well as for students of electrical engineering and computer science.
650		0	_aEngineering.
650		0	_aArtificial intelligence.
650		0	_aSystem theory.
650		0	_aComputational intelligence.
650	1	4	_aEngineering.
650	2	4	_aComputational Intelligence.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aSystems Theory, Control.
700	1		_aGhamisi, Pedram. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783319196343
830		0	_aSpringerBriefs in Applied Sciences and Technology, _x2191-530X
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-319-19635-0
912			_aZDB-2-ENG
942			_cEBK
999			_c52451 _d52451