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020			_a9783319789224
024	7		_a10.1007/978-3-319-78922-4 _2doi
040			_bspa _aES-MaUEC _cES-MaUEC
050		4	_aQA402.5 _b2019 EB
100	1		_aVenkata Rao, Ravipudi _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9671185
245	1	0	_aJaya : _bAn Advanced Optimization Algorithm and its Engineering Applications _cby Ravipudi Venkata Rao.
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2019.
300			_a1 recurso en línea (XVII, 334 páginas) _b64 ilustraciones,47 ilustraciones a color
347			_atext file _bPDF
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_a1.Introduction to Optimization -- 2.Jaya Optimization Algorithm -- 3.Application of Jaya Algorithm On Single Objective Unconstrained And Unconstrained Benchmark Functions -- 4.Application of Jaya Algorithm On Multi-objective Unconstrained And Constrained Benchmark Functions -- 5.Application of Jaya Algorithm On Constrained Benchmark Mechanical Design Problems -- 6.Single And Multi-objective Design Optimization of Different Types of Mechanical Elements Using Jaya Algorithm -- 7.Single And Multi-objective Design Optimization of Heat Exchangers Using Jaya Algorithm -- 8.Single and Multi-objective Design Optimization of Heat Sinks Using Jaya Algorithm -- 9.Single and Multi-objective Design Optimization of Mechanical Draft Cooling Towers Using Jaya Algorithm -- 10.Robot Path Planning Using Jaya Algorithm -- 11.Multiobjective Optimization of Design and Manufacturing Tolerances Using Jaya Algorithm -- 12.Single and Multiobjective Optimization of Traditional and Modern Machining and Nano-finishing Processes Using Jaya Algorithm -- 13.Single and Multiobjective Optimization of Advanced Casting Processes Using Jaya Algorithm -- 14.Applications of Jaya Algorithm to Different Engineering and Science Disciplines -- 15.Concluding Remarks -- Appendix: Jaya Algorithm Codes for Multiobjective Unconstrained and Constrained Optimization Problems.
520	3		_aThis book introduces readers to the "Jaya" algorithm, an advanced optimization technique that can be applied to many physical and engineering systems. It describes the algorithm, discusses its differences with other advanced optimization techniques, and examines the applications of versions of the algorithm in mechanical, thermal, manufacturing, electrical, computer, civil and structural engineering. In real complex optimization problems, the number of parameters to be optimized can be very large and their influence on the goal function can be very complicated and nonlinear in character. Such problems cannot be solved using classical methods and advanced optimization methods need to be applied. The Jaya algorithm is an algorithm-specific parameter-less algorithm that builds on other advanced optimization techniques. The application of Jaya in several engineering disciplines is critically assessed and its success compared with other complex optimization techniques such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO), Differential Evolution (DE), Artificial Bee Colony (ABC), and other recently developed algorithms.
650		7	_aOptimización matemática _9145705 _2embne
776	0	8	_iPrinted edition: _z9783319789217
776	0	8	_iPrinted edition: _z9783319789231
776	0	8	_iPrinted edition: _z9783030076801
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-78922-4 _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