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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Multi-Objective Evolutionary Optimisation for Product Design and Manufacturing

Multi-Objective Evolutionary Optimisation for Product Design and Manufacturing

Ng, Amos H. C.
Deb, Kalyanmoy
Wang, Lihui

Paperback

Technology & EngineeringGeneral Computers

ISBN10: 1447160711
ISBN13: 9781447160717
Publisher: Springer Nature
Published: Sep 2 2014
Pages: 505
Weight: 1.59
Height: 1.05 Width: 6.14 Depth: 9.21
Language: English
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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