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001 978-0-85729-652-8
003 DE-He213
005 20140220083714.0
007 cr nn 008mamaa
008 110903s2011 xxk| s |||| 0|eng d
020 _a9780857296528
_9978-0-85729-652-8
024 7 _a10.1007/978-0-85729-652-8
_2doi
050 4 _aTJ241
072 7 _aTGXT
_2bicssc
072 7 _aTEC020000
_2bisacsh
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
912 _aZDB-2-ENG
999 _c105249
_d105249