00000cmm a22000004a 4500 UP-99796217611211960 Buklod 20140423135115.0 m go j cr cn |||aaaaa 110903s2011 xxk u eng d 9780857296528 (eBook) 0857296523 (eBook) (iLib)UPD-00214608101 DML eng DMLUC HF 5415.153 M85 2011eb Multi-objective evolutionary optimisation for product design and manufacturing [electronic resource] Lihui Wang, Amos H. C. Ng, Kalyanmoy Deb, editors. London New York Springer c2011. 1 online resource (xv, 502 p.) ill. 1. 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. IP-based subscription, access limited to within on-campus computer network. Access via Electronic Resources of the UPD University Library Website. With 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. Electronic reproduction. New York SpringerLink 2011. Available via World Wide Web through SpringerLink. Product design. Manufacturing processes. Mathematical optimization. Electronic books. Wang, Lihui 1959-. Ng, Amos H. C. Deb, Kalyanmoy. SpringerLink (Online service). Available for University of the Philippines Diliman via SpringerLink. Click here to access http://dx.doi.org/10.1007/978-0-85729-652-8 FO Monograph UPD DMLR Electronic Resource