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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 pr...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Wang, Lihui (Editor ), Ng, Amos H. C. (Editor ), Deb, Kalyanmoy (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.