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Optimisation of Thermal Power Plant Designs: A Graph-based Adaptive Search Approach

  • Michael T. M. Emmerich
Conference paper

Abstract

A novel graph-based representation for the synthesis and optimisation of feedwater preheating systems in power plants will be introduced. In contrast previous work, where super-structures have been used to represent the variable dimensional search space, the new approach works with problem-specific dynamic parameterised graph structures.

This representation offers a high flexibility for designing knowledge-based search systems. Problem-specific minimal move operators that modify the network structure in order to explore the search space within adaptive search procedures will be introduced. Furthermore, it is demonstrated how the representation and the minimal moves can be integrated in adaptive search algorithms, by applying them within the systematic framework of metric-based evolutionary programming. Keywords: Network Representations, Thermal Power Plant Design, Process Synthesis, Metric Based Evolutionary Programming, Structural Optimisation

Keywords

Thermal Efficiency Search Space Thermal Power Plant Search Operator Feed Water 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London 2002

Authors and Affiliations

  1. 1.Center of Applied Systems Analysis Informatik Centrum Dortmund e.V.DortmundGermany

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