Evolutionary Computing in Advanced Manufacturing

個数:
電子版価格
¥27,448
  • 電子版あり

Evolutionary Computing in Advanced Manufacturing

  • 在庫がございません。海外の書籍取次会社を通じて出版社等からお取り寄せいたします。
    通常6~9週間ほどで発送の見込みですが、商品によってはさらに時間がかかることもございます。
    重要ご説明事項
    1. 納期遅延や、ご入手不能となる場合がございます。
    2. 複数冊ご注文の場合は、ご注文数量が揃ってからまとめて発送いたします。
    3. 美品のご指定は承りかねます。

    ●3Dセキュア導入とクレジットカードによるお支払いについて
  • 【入荷遅延について】
    世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
    おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。
  • ◆画像の表紙や帯等は実物とは異なる場合があります。
  • ◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
    また、洋書販売価格は、ご注文確定時点での日本円価格となります。
    ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。
  • 製本 Hardcover:ハードカバー版/ページ数 329 p.
  • 言語 ENG
  • 商品コード 9780470639245
  • DDC分類 658.80028563

Full Description

This cutting-edge book covers emerging, evolutionary and nature inspired optimization techniques in the field of advanced manufacturing. The complexity of real life advanced manufacturing problems often cannot be solved by traditional engineering or computational methods. Hence, in recent years researchers and practitioners have proposed and developed new strands of advanced, intelligent techniques and methodologies. Evolutionary computing approaches are introduced in the context of a wide range of manufacturing activities, and through the examination of practical problems and their solutions, readers will gain confidence to apply these powerful computing solutions. The initial chapters introduce and discuss the well established evolutionary algorithm, to help readers to understand the basic building blocks and steps required to successfully implement their own solutions to real life advanced manufacturing problems. In the later chapters, modified and improved versions of evolutionary algorithms are discussed. The book concludes with appendices which provide general descriptions of several evolutionary algorithms.

Contents

Preface. 1. Production Planning using Genetic Algorithm (S. K. Kumar and M. K. Tiwari).

2. Process Planning through Ant Colony Optimization (Puneet Bhardwaj and M K. Tiwari).

3. Introducing a Hybrid Genetic Algorithm for Integration of Set Up and Process Planning (S. H. Chung and F. T. S. Chan).

4. Design for Supply Chain with Product Development Issues Using Cellular Particle Swarm Optimization (CPSO) Technique (Vikas Kumar and F. T. S. Chan).

5. Genetic Algorithms with Chromosome Differentiation (GACD) Based Approach for Process Plan Selection Problems (Nishikant Mishra and Vikas Kumar).

6. Operation Allocation in Flexible Manufacturing System Using Immune Algorithm (Mayank K. Pandey).

7. Tool Selection in FMS an Hybrid SA-TABU Algorithm Based Approach (Nitesh Khilwani, J. A. Harding and Nishikant Mishra).

8. Integrating AGVs and Production Planning with Memetic Particle Swarm Optimization (Sri Krishna, M. K. Tiwari and J. Harding).

9. Simulation-based Aircraft Assembly Planning Using a Self-Guided Ant Colony Algorithm (Sai Srinivas Nageshwaraniyer, Nurcin Celik, Young-Jun Son and Roberto Lu).

10. Applications of Evolutionary Computing to Additive Manufacturing (Candice Majewski).

11. Multiple Fault Diagnosis Using Psycho-Clonal Algorithms (Nagesh Shukla and Prakash).

12. Platform Formation Under Stochastic Demand (D. Ben-Arieh and A. M. Choubey).

13. A Hybrid Particle Swarm and Ant Colony Optimizer for Multi-attribute Partnership Selection in Virtual Enterprises (S. H. Niu, S. K. Ong and A. Y. C. Nee).

Index.

最近チェックした商品