Book Reviews: Metamodelling: Bond Graphs and dynamic systems:

1997 ◽  
Vol 34 (2) ◽  
pp. 186-186
Author(s):  
P. E. Wellstead
Keyword(s):  
1999 ◽  
Vol 87 (11) ◽  
pp. 1996-1998 ◽  
Author(s):  
N. Rosenvasser ◽  
R.M. Yusupov
Keyword(s):  

Author(s):  
Germa´n L. Di´az-Cuevas ◽  
Roger F. Ngwompo

A binary encoding method for bond graphs that can be used for genetic algorithms (GAs) applications is presented. The originality of the proposed coding is that it encompasses causal information. This ensures that causal analysis is taken into account in assessing the fitness of topologies generated in GA operations and the suitability of design candidates to meet performance specifications can be tested directly from the binary code as the model equations can be derived from it. The code is suitable for GAs applications on bond graphs (BG) for topology and parameter optimisation in automated synthesis of dynamic systems. The coding method and its possible applications are illustrated through worked examples.


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