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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.
|
| Colección: | Series in intelligent control and intelligent automation ;
v. 13. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Subbu, Raj. | |
| 245 | 1 | 0 | |a Network-based distributed planning using coevolutionary algorithms / |c Raj Subbu, Arthur C Sanderson. |
| 260 | |a River Edge, NJ : |b World Scientific, |c 2004. | ||
| 300 | |a 1 online resource (xix, 172 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
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| 490 | 1 | |a Series in intelligent control and intelligent automation ; |v v. 13 | |
| 504 | |a Includes bibliographical references (pages 159-168) and index. | ||
| 500 | |a Based on doctoral research, 1996-2000--Rensselaer Polytechnic Institute. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a 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. | |
| 520 | |a 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 of coevolutionary algorithms is introduced using techniques from stochastic process theory and mathematical analysis. A case study in distributed, network-based decision-making presents an implementation and detailed evaluation of the coevolutionary decision-making framework that incorporates distr. | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Electronic data processing |x Distributed processing. | |
| 650 | 0 | |a Algorithms. | |
| 650 | 0 | |a Intelligent agents (Computer software) | |
| 650 | 2 | |a Algorithms | |
| 650 | 6 | |a Traitement réparti. | |
| 650 | 6 | |a Algorithmes. | |
| 650 | 6 | |a Agents intelligents (Logiciels) | |
| 650 | 7 | |a algorithms. |2 aat | |
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| 650 | 7 | |a Electronic data processing |x Distributed processing |2 fast | |
| 650 | 7 | |a Intelligent agents (Computer software) |2 fast | |
| 700 | 1 | |a Sanderson, A. C. |q (Arthur C.) | |
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| 830 | 0 | |a Series in intelligent control and intelligent automation ; |v v. 13. | |
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