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710	2		_aSpringerLink (Online service) _9106996
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005			20230102113519.0
008			181230s2019 gw a s |||| 0|eng d
020			_a9783030055516
024	7		_a10.1007/978-3-030-05551-6 _2doi
040			_bspa _aES-MaUEC _cES-MaUEC
050		4	_aQA402.5 _b2019 EB
100	1		_aCaraveo, Camilo _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9671187
245	1	2	_aA New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature _cby Camilo Caraveo, Fevrier Valdez, Oscar Castillo.
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2019.
300			_a1 recurso en línea (VIII, 57 páginas)
347			_atext file _bPDF
490	0		_aSpringerBriefs in Computational Intelligence _x2625-3704
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aIntroduction -- Theory and Background -- Self-defense of the Plants -- Predator-prey mode -- Proposed Method -- Case studies -- Conclusions.
520	3		_aThis book presents a new meta-heuristic algorithm, inspired by the self-defense mechanisms of plants in nature. Numerous published works have demonstrated the various self-defense mechanisms (survival strategies) plants use to protect themselves against predatory organisms, such as herbivorous insects. The proposed algorithm is based on the predator-prey mathematical model originally proposed by Lotka and Volterra, consisting of two nonlinear first-order differential equations, which allow the growth of two interacting populations (prey and predator) to be modeled. The proposed meta-heuristic is able to produce excellent results in several sets of benchmark optimization problems. Further, fuzzy logic is used for dynamic parameter adaptation in the algorithm.
650		7	_aOptimización matemática _9145705
600	1		_aValdez, Fevrier _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _2embne _999482
700	1		_aCastillo, Oscar _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _937054
776	0	8	_iPrinted edition: _z9783030055509
776	0	8	_iPrinted edition: _z9783030055523
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-05551-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aPrimersemestre_2019_Robotics
998			_aSI _a_alco _a_vill _b10/2019 _cm _dz _ea _feng _ggw _h0