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Network-based distributed planning using coevolutionary algorithms /
In this book, efficient and scalable coevolutionary algorithms for distributed, network-based decision-making, which utilize objective functions are developed in a networked environment where internode communications are a primary factor in system performance. A theoretical foundation for this class...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
River Edge, NJ :
World Scientific,
2004.
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| Colección: | Series in intelligent control and intelligent automation ;
v. 13. |
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 1. Introduction. 1.1. Motivation. 1.2. Approach. 1.3. Principal contributions. 1.4. Book outline
- 2. Background and related work. 2.1. Collaborative manufacturing. 2.2. Combinatorial optimization. 2.3. Evolutionary algorithms. 2.4. Agents. 2.5. Distributed problem solving
- 3. Problem formulation and analysis. 3.1. Introduction. 3.2. General problem formulation. 3.3. Printed circuit assembly problem. 3.4. Algorithm applicability analysis
- 4. Theory and analysis of evolutionary optimization. 4.1. Introduction. 4.2. Theoretical foundation. 4.3. Convergence analysis
- 5. Theory and analysis of distributed coevolutionary optimization. 5.1. Introduction. 5.2. Theory. 5.3. Computational delay analysis
- 6. Performance evaluation based on ideal objectives. 6.1. Introduction. 6.2. Gaussian objectives. 6.3. Planar tile layout problems. 6.4. Design-supplier-manufacturing problem
- 7. Coevolutionary virtual design environment. 7.1. Introduction. 7.2. Application domain. 7.3. Evolutionary optimization. 7.4. Simulation environments
- 8. Evaluation and analysis. 8.1. Introduction. 8.2. Nature and evolution of planning decisions. 8.3. Strategy for performance evaluation. 8.4. Performance evaluation. 8.5. Applicability analysis of the frameworks
- 9. Conclusions. 9.1. Summary. 9.2. Future work.