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Energy efficiency in manufacturing systems /
"Energy consumption is of great interest to manufacturing companies. Beyond considering individual processes and machines, the perspective on process chains and factories as a whole holds major potentials for energy efficiency improvements. To exploit these potentials, dynamic interactions of d...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin ; New York :
Springer,
©2012.
|
| Colección: | Sustainable production, life cycle engineering and management.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Introduction
- Theoretical Background
- Derivation of Requirements and Methodological Approach
- State of Research
- Concept Development
- Application of Concept
- Summary and Outlook.
- Part 1. Introduction
- Probabilistic Graphical Models and Markov Networks / Roberto Santana and Siddhartha Shakya
- A Review of Estimation of Distribution Algorithms and Markov Networks / Siddhartha Shakya and Roberto Santana
- MOA
- Markovian Optimisation Algorithm / Siddhartha Shakya and Roberto Santana
- DEUM
- Distribution Estimation Using Markov Networks / Siddhartha Shakya, John McCall, Alexander Brownlee and Gilbert Owusu
- MN-EDA and the Use of Clique-Based Factorisations in EDAs / Roberto Santana.
- Part 2. Theory
- Convergence Theorems of Estimation of Distribution Algorithms / Heinz Mühlenbein
- Adaptive Evolutionary Algorithm Based on a Cliqued Gibbs Sampling over Graphical Markov Model Structure / Eunice Esther Ponce-de-Leon-Senti and Elva Diaz-Diaz
- The Markov Network Fitness Model / Alexander E.I. Brownlee, John A.W. McCall and Siddhartha K. Shakya
- Fast Fitness Improvements in Estimation of Distribution Algorithms Using Belief Propagation / Alexander Mendiburu, Roberto Santana and Jose A. Lozano
- Continuous Estimation of Distribution Algorithms Based on Factorized Gaussian Markov Networks / Hossein Karshenas, Roberto Santana, Concha Bielza and Pedro Larrañaga
- Using Maximum Entropy and Generalized Belief Propagation in Estimation of Distribution Algorithms / Robin Höns.
- Part 3. Application
- Applications of Distribution Estimation Using Markov Network Modelling (DEUM) / John McCall, Alexander Brownlee and Siddhartha Shakya
- Vine Estimation of Distribution Algorithms with Application to Molecular Docking / Marta Soto, Alberto Ochoa, Yasser González-Fernández, Yanely Milanés and Adriel Álvarez, et al.
- EDA-RL: EDA with Conditional Random Fields for Solving Reinforcement Learning Problems / Hisashi Handa.