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001			280997
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007			cr nn 008mamaa
008			150903s2011 xxk| o |||| 0|eng d
020			_a9780857296528 _99780857296528
024	7		_a10.1007/9780857296528 _2doi
035			_avtls000333949
039		9	_a201509030754 _bVLOAD _c201404130604 _dVLOAD _c201404092353 _dVLOAD _y201402041136 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aTJ241
100	1		_aWang, Lihui. _eeditor. _9306312
245	1	0	_aMulti-objective Evolutionary Optimisation for Product Design and Manufacturing / _cedited by Lihui Wang, Amos H. C. Ng, Kalyanmoy Deb.
264		1	_aLondon : _bSpringer London, _c2011.
300			_axv, 502 páginas 246 ilustraciones, 136 ilustraciones en color. _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
500			_aSpringer eBooks
505	0		_a1. Multi-objective Optimisation Using Evolutionary Algorithms: An Introduction -- 2. Multi-objective Optimisation in Manufacturing Supply-chain Systems -- 3. State-of-the-Art Multi-objective Optimisation of Manufacturing Processes Based on Thermo-mechanical Simulations -- 4. Many-objective Evolutionary Optimisation and Visual Analytics for Product Family Design -- 5. Product Portfolio Selection of Designs Through an Analysis of Lower-dimensional Manifolds and Identification of Common Properties -- 6. Multi-objective Optimisation of a Family of Industrial Robots -- 7. Multi-objective Optimisation and Multi-criteria Decision -- 8. A Setup Planning Approach Considering Tolerance Cost Factors -- 9. Preference Vector Ant Colony System for Minimising Make-span and Energy Consumption in a Hybrid Flow Shop -- 10. Intelligent Optimisation for Integrated Process Planning and Scheduling -- 11. Distributed Real-time Scheduling by Using Multi-agent Reinforcement Learning -- 12. A Multiple Ant Colony Optimisation Approach for a Multi-objective Manufacturing Rescheduling Problem -- 13. Reconfigurable Facility Layout Design for Job-shop Assembly Operations -- 14. A Simulation Optimisation Framework for Container Terminal Layout Design -- 15. Simulation-based Innovisation Using Data Mining for Production Systems Analysis -- 16. Multi-objective Production Systems Optimisation with Investment and Running Cost -- 17. Supply Chain Design Using Simulation-based NSGA-II Approach.
520			_aWith the increasing complexity and dynamism in today’s product design and manufacturing, more optimal, robust and practical approaches and systems are needed to support product design and manufacturing activities. Multi-objective Evolutionary Optimisation for Product Design and Manufacturing presents a focused collection of quality chapters on state-of-the-art research efforts in multi-objective evolutionary optimisation, as well as their practical applications to integrated product design and manufacturing. Multi-objective Evolutionary Optimisation for Product Design and Manufacturing consists of two major sections. The first presents a broad-based review of the key areas of research in multi-objective evolutionary optimisation. The second gives in-depth treatments of selected methodologies and systems in intelligent design and integrated manufacturing. Recent developments and innovations in multi-objective evolutionary optimisation make Multi-objective Evolutionary Optimisation for Product Design and Manufacturing a useful text for a broad readership, from academic researchers to practicing engineers.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aNg, Amos H. C. _eeditor. _9306313
700	1		_aDeb, Kalyanmoy. _eeditor. _9306314
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9780857296177
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-0-85729-652-8 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c280997 _d280997