Energy efficiency in manufacturing systems

Energy efficiency in manufacturing systems / Sebastian Thiede.

"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...

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Bibliographic Details
Main Author: Thiede, Sebastian
Format: eBook
Language:English
Published: Berlin ; New York : Springer, ©2012.
Series:Sustainable production, life cycle engineering and management.
Subjects:
Manufacturing industries > Energy consumption.
BUSINESS & ECONOMICS > Industries > Energy.
SCIENCE > Energy.
TECHNOLOGY & ENGINEERING > Power Resources > General.
Ingénierie.
Manufacturing industries > Energy consumption
Online Access:Click for online access
Table of Contents:
  • 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.

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