Tiwari / Harding Evolutionary Computing in Advanced Manufacturing

1. Auflage 2011
ISBN: 978-1-118-16187-6
Verlag: John Wiley & Sons
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 354 Seiten, E-Book

Reihe: Wiley-Scrivener

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.

Autoren/Hrsg.

Tiwari, Manoj

Harding, Jenny A.

Inhaltsverzeichnis

Preface.
1. Production Planning using Genetic Algorithm (S. K. Kumar andM. K. Tiwari).
2. Process Planning through Ant Colony Optimization (PuneetBhardwaj and M K. Tiwari).
3. Introducing a Hybrid Genetic Algorithm for Integration of SetUp and Process Planning (S. H. Chung and F. T. S. Chan).
4. Design for Supply Chain with Product Development Issues UsingCellular Particle Swarm Optimization (CPSO) Technique (Vikas Kumarand F. T. S. Chan).
5. Genetic Algorithms with Chromosome Differentiation (GACD)Based Approach for Process Plan Selection Problems (NishikantMishra and Vikas Kumar).
6. Operation Allocation in Flexible Manufacturing System UsingImmune Algorithm (Mayank K. Pandey).
7. Tool Selection in FMS an Hybrid SA-TABU Algorithm BasedApproach (Nitesh Khilwani, J. A. Harding and Nishikant Mishra).
8. Integrating AGVs and Production Planning with MemeticParticle Swarm Optimization (Sri Krishna, M. K. Tiwari and J.Harding).
9. Simulation-based Aircraft Assembly Planning Using aSelf-Guided Ant Colony Algorithm (Sai Srinivas Nageshwaraniyer,Nurcin Celik, Young-Jun Son and Roberto Lu).
10. Applications of Evolutionary Computing to AdditiveManufacturing (Candice Majewski).
11. Multiple Fault Diagnosis Using Psycho-Clonal Algorithms(Nagesh Shukla and Prakash).
12. Platform Formation Under Stochastic Demand (D. Ben-Arieh andA. M. Choubey).
13. A Hybrid Particle Swarm and Ant Colony Optimizer forMulti-attribute Partnership Selection in Virtual Enterprises (S. H.Niu, S. K. Ong and A. Y. C. Nee).
Index.

Über Autor(innen)

Manoj Tiwari is based at the Indian Institute of Technology,Kharagpur. He is an acknowledged research leader and has worked inthe areas of evolutionary computing, applications, modeling andsimulation of manufacturing system, supply chain management,planning and scheduling of automated manufacturing system for about20 years.
Jenny A. Harding joined Loughborough University in 1992after working in industry for many years. Her industrial experienceincludes textile production and engineering, and immediately priorto joining Loughborough University, she spent 7 years working inR&D at Rank Taylor Hobson Ltd., manufacturers of metrologyinstruments. Her experience is mostly in the areas of mathematicsand computing for manufacturing.