Multi-objective Evolutionary Optimisation for Product Design and Manufacturing

By: Lihui Wang (Editor), Amos H. C. Ng (Editor), Kalyanmoy Deb (Editor)

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Paperback | 2 September 2014

At a Glance

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520 Pages

Dimensions(cm)
23.5 x 15.49 x 2.67

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$329.75

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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.

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