Evolutionary Computing in Advanced Manufacturing [Elektronisk resurs]
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Tiwari, Manoj. (författare)
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Harding, Jenny A. (författare)
- ISBN 9781118161852
- Publicerad: Hoboken : John Wiley & Sons, 2011
- Engelska 1 online resource (356 p.)
- Relaterad länk:
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http://onlinelibrary... (Table of Contents / Abstracts) (Wiley InterScience)
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
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