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008			210818s2022 sz | s |||| 0|eng d
020			_a9783030822880
024	7		_a10.1007/978-3-030-82288-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
050		4	_aQA76.9.A43 _b2022 EB
100	1		_aCastillo, Oscar. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	2	_aA New Meta-heuristic Optimization Algorithm Based on the String Theory Paradigm from Physics _cby Oscar Castillo, Luis Rodriguez.
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (VIII, 71 páginas) _b33 ilustraciones, 28 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSpringerBriefs in Computational Intelligence _x2625-3712
505	0		_aIntroduction -- Literature Review -- String Theory Algorithm -- Simulation Results -- Conclusions.
520			_aThis book focuses on the fields of nature-inspired algorithms, optimization problems and fuzzy logic. In this book, a new metaheuristic based on String Theory from Physics is proposed. It is important to mention that we have proposed the new algorithm to generate new potential solutions in optimization problems in order to find new ways that could improve the results in solving these problems. We are presenting the results for the proposed method in different cases of study. The first case, is optimization of traditional benchmark mathematical functions. The second case, is the optimization of benchmark functions of the CEC 2015 Competition and we are also presenting results of the CEC 2017 Competition on Constrained Real-Parameter Optimization that are problems that contain the presence of constraints that alter the shape of the search space making them more difficult to solve. Finally, in the third case, we are presenting the optimization of a fuzzy inference system, specifically for finding the optimal design of a fuzzy controller for an autonomous mobile robot. It is important to mention that in all study cases we are presenting statistical tests in or-der to validate the performance of proposed method. In summary, we believe that this book will be of great interest to a wide audience, ranging from engineering and science graduate students, to researchers and professors in computational intelligence, metaheuristics, optimization, robotics and control.
776	0	8	_iPrinted edition: _z9783030822873
776	0	8	_iPrinted edition: _z9783030822897
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-82288-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aSpringer_Robotics_2022
999			_c395093 _d395093