000			04211nam a22004695i 4500
001			978-0-85729-652-8
003			DE-He213
005			20251006084445.0
007			cr nn 008mamaa
008			110903s2011 xxk| s |||| 0|eng d
020			_a9780857296528
020			_a99780857296528
024	7		_a10.1007/978-0-85729-652-8 _2doi
082	0	4	_a670 _223
100	1		_aWang, Lihui. _eeditor.
245	1	0	_aMulti-objective Evolutionary Optimisation for Product Design and Manufacturing _h[electronic resource] / _cedited by Lihui Wang, Amos H. C. Ng, Kalyanmoy Deb.
264		1	_aLondon : _bSpringer London, _c2011.
300			_aXV, 502p. 246 illus., 136 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
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.
650		0	_aENGINEERING.
650		0	_aCOMPUTER SIMULATION.
650		0	_aCOMPUTER AIDED DESIGN.
650		0	_aMACHINERY.
650	1	4	_aENGINEERING.
650	2	4	_aMANUFACTURING, MACHINES, TOOLS.
650	2	4	_aSIMULATION AND MODELING.
650	2	4	_aCOMPUTER-AIDED ENGINEERING (CAD, CAE) AND DESIGN.
700	1		_aNg, Amos H. C. _eeditor.
700	1		_aDeb, Kalyanmoy. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780857296177
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-85729-652-8 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-ENG
942			_2ddc _cER
999			_c60089 _d60089