Multi-Objective Evolutionary Optimisation for Product Design and Manufacturing

by Lihui Wang

Book Overview

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.

• Format: Paperback
• Language: English
• ISBN: 1447160711
• ISBN13: 9781447160717
• Release Date: September 2014
• Publisher: Springer
• Length: 505 Pages
• Weight: 1.59 lbs.
• Dimensions: 1.1" x 6.1" x 9.2"