Startsida
Hjälp
Sök i LIBRIS databas

     

 

Sökning: onr:13255152 > Evolutionary Comput...

Evolutionary Computing in Advanced Manufacturing [Elektronisk resurs]

Tiwari, Manoj. (författare)
Harding, Jenny A. (författare)
ISBN 9781118161852
Publicerad: Hoboken : John Wiley & Sons, 2011
Engelska 1 online resource (356 p.)
  • E-bok
Innehållsförteckning Sammanfattning Ämnesord
Stäng  
  • Evolutionary Computing in Advanced Manufacturing; Contents; Preface; List of Contributors; 1. Production Planning Using Genetic Algorithm; 1.1 Introduction; 1.2 Production Planning Models; 1.2.1 Mathematical Model; 1.3 Genetic Algorithm; 1.3.1 Procedure of Genetic Algorithm (GA); 1.4 Implementation of GA; 1.4.1 Algorithm Parameters: (Population Size, Probability of Crossover and Mutation); 1.4.2 Parameter Tuning; 1.5 Summary; Further Reading; 2. Process Planning through Ant Colony Optimization; 2.1 Introduction; 2.2 Ant Colony Optimization (ACO); 2.2.1 Problem Description; 2.2.2 Case Problem. 
  • 2.2.3 ResultsReferences; 3. Introducing a Hybrid Genetic Algorithm for Integration of Set Up and Process Planning; 3.1 Introduction; 3.2 Process Planning; 3.3 Machine Set-up Time; 3.3.1 Optimization Methodology: Genetic Algorithms (GA); 3.4 Chromosome Representation; 3.5 Fitness Value Evaluation; 3.6 Selection Operation; 3.7 Crossover Operations; 3.8 Mutation Operations (k-opt exchange); 3.9 Conclusion; References; 4. Design for Supply Chain with Product Development Issues Using Cellular Particle Swarm Optimization (CPSO) Technique; 4.1 Introduction; 4.2 Problem Formulation; 4.2.1 Notations. 
  • 4.2.2 Simulated Problem4.2.3 Particle Swarm Algorithm (PSO); 4.2.4 Cellular Particle Swarm Optimization (CPSO) Algorithm; 4.2.5 CPSO-outer Algorithm; 4.3 Computational Analysis and Result; 4.4 Conclusions; References; 5. Genetic Algorithms with Chromosome Differentiation (GACD) Based Approach for Process Plan Selection Problems; 5.1 Introduction; 5.2 Problem Formulation; 5.3 Genetic Algorithm with Chromosome Differentiation; 5.3.1 Overview of GA; 5.3.2 Genetic Algorithm Incorporating Chromosome Differentiation; 5.3.3 Description of GA with Chromosome Differentiation. 
  • 5.4 GACD Based Solution Methodology to Process Plan Selection Problem5.4.1 Selection of GACD's Parameter; 5.5 Numerical Experiments; 5.6 Conclusions; References; 6. Operation Allocation in Flexible Manufacturing System Using Immune Algorithm; 6.1 Introduction; 6.2 Machine Loading Problem; 6.2.1 Problem Formulation; 6.3 Solution Methodology; 6.3.1 Introduction to Immune System and Analogy to Immune Algorithm; 6.3.2 Modified Immune Algorithm Used to Solve Machine Loading Problem (Prakash et al. 2008); 6.3.3 Fast Clonal Algorithm (Khilwani et al., 2008). 
  • 6.4 Implementing Immune Algorithm for Machine Loading Problem6.5 Computational Result; 6.6 Conclusion; References; 7. Tool Selection in FMS A Hybrid SA-Tabu Algorithm Based Approach; 7.1 Introduction; 7.2 Literature Survey; 7.3 Problem Formulation; 7.4 Background on SA-Tabu Heuristic; 7.4.1 Simulated Annealing; 7.4.2 Tabu Search; 7.4.3 Simulated Annealing-Tabu; 7.5 Implementation of Tabu-Simulated Annealing; 7.5.1 Notations Used in SA-Tabu Heuristic; 7.5.2 Steps of the Hybrid SA-Tabu Heuristic; 7.5.3 Representation; 7.5.4 Search Parameters; 7.6 Test Cases; 7.7 Conclusion; References. 
  • 8. Integrating AGVs and Production Planning with Memetic Particle Swarm Optimization. 
  • 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 

Ämnesord

Evolutionary computation. 
Manufacturing processes -- Data processing. 

Genre

Electronic books.  (LCSH)

Klassifikation

TS183 .E86 2011 (LCC)
658.800285/63 (DDC)
Qbl (kssb/8 (machine generated))
Inställningar Hjälp

Titeln finns på 10 bibliotek. 

Bibliotek i norra Sverige (1)

Ange som favorit

Bibliotek i Mellansverige (3)

Ange som favorit

Bibliotek i Stockholmsregionen (1)

Ange som favorit

Bibliotek i östra Sverige (1)

Ange som favorit

Bibliotek i västra Sverige (2)

Ange som favorit

Bibliotek i södra Sverige (2)

Ange som favorit

Sök utanför LIBRIS

Hjälp
Om LIBRIS
Sekretess
Hjälp
Fel i posten?
Kontakt
Teknik och format
Sök utifrån
Sökrutor
Plug-ins
Bookmarklet
Anpassa
Textstorlek
Kontrast
Vyer
LIBRIS söktjänster
SwePub
Uppsök

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

Copyright © LIBRIS - Nationella bibliotekssystem

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy