000			04404nam a22003855i 4500
001			287229
003			MX-SnUAN
005			20160429154538.0
007			cr nn 008mamaa
008			150903s2012 xxk| o |||| 0|eng d
020			_a9781447127482 _99781447127482
024	7		_a10.1007/9781447127482 _2doi
035			_avtls000339619
039		9	_a201509030839 _bVLOAD _c201404300402 _dVLOAD _y201402060939 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aTA174
100	1		_aRao, R. Venkata. _eautor _9306056
245	1	0	_aMechanical Design Optimization Using Advanced Optimization Techniques / _cby R. Venkata Rao, Vimal J. Savsani.
264		1	_aLondon : _bSpringer London, _c2012.
300			_axii, 320 páginas 34 ilustraciones _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aSpringer Series in Advanced Manufacturing, _x1860-5168
500			_aSpringer eBooks
505	0		_aIntroduction to Design of Mechanical Elements and Devices -- Advanced Optimization Techniques -- Applications of Existing Optimization Algorithms to the Design of Mechanical Elements -- Applications of Modified Optimization Algorithms -- Applications of Hybrid Algorithms -- Development and Applications of a New Optimization Algorithm -- Design Optimization of Heat Exchangers -- Design Optimization of Colling Towers -- Conclusions -- Algorithms and Computer Codes for the Advanced Optimization Techniques.
520			_aMechanical design includes an optimization process in which designers always consider objectives such as strength, deflection, weight, wear, corrosion, etc. depending on the requirements. However, design optimization for a complete mechanical assembly leads to a complicated objective function with a large number of design variables. It is a good practice to apply optimization techniques for individual components or intermediate assemblies than a complete assembly. Analytical or numerical methods for calculating the extreme values of a function may perform well in many practical cases, but may fail in more complex design situations. In real design problems, the number of design parameters can be very large and their influence on the value to be optimized (the goal function) can be very complicated, having nonlinear character. In these complex cases, advanced optimization algorithms offer solutions to the problems, because they find a solution near to the global optimum within reasonable time and computational costs. Mechanical Design Optimization Using Advanced Optimization Techniques presents a comprehensive review on latest research and development trends for design optimization of mechanical elements and devices. Using examples of various mechanical elements and devices, the possibilities for design optimization with advanced optimization techniques are demonstrated. Basic and advanced concepts of traditional and advanced optimization techniques are presented, along with real case studies, results of applications of the proposed techniques, and the best optimization strategies to achieve best performance are highlighted. Furthermore, a novel advanced optimization method named teaching-learning-based optimization (TLBO) is presented in this book and this method shows better performance with less computational effort for the large scale problems. Mechanical Design Optimization Using Advanced Optimization Techniques will be useful to the industrial product designers for realizing a product as it presents new models and optimization techniques to make tasks easier, logical, efficient and effective. The book is intended for designers, practitioners, managers, institutes involved in design related projects, applied research workers, academics, and graduate students in mechanical and industrial engineering.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aSavsani, Vimal J. _eautor _9316294
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9781447127475
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4471-2748-2 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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