Multi-objective Evolutionary Optimisation for Product Design and Manufacturing

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 present...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Wang, Lihui (Επιμελητής έκδοσης), Ng, Amos H. C. (Επιμελητής έκδοσης), Deb, Kalyanmoy (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: London : Springer London, 2011.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.