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{ "item_title" : "Multi-Objective Evolutionary Optimisation for Product Design and Manufacturing", "item_author" : [" Lihui Wang", "Amos H. C. Ng", "Kalyanmoy Deb "], "item_description" : "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.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/44/716/071/1447160711_b.jpg", "price_data" : { "retail_price" : "219.99", "online_price" : "219.99", "our_price" : "219.99", "club_price" : "219.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Multi-Objective Evolutionary Optimisation for Product Design and Manufacturing|Lihui Wang

Multi-Objective Evolutionary Optimisation for Product Design and Manufacturing

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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.

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Details

  • ISBN-13: 9781447160717
  • ISBN-10: 1447160711
  • Publisher: Springer
  • Publish Date: September 2014
  • Dimensions: 9.21 x 6.14 x 1.05 inches
  • Shipping Weight: 1.59 pounds
  • Page Count: 505

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