Behavioral analysis and multi-criteria optimization of active dynamic systems based on genetic algorithms and bond-graphs

2012 ◽  
Author(s):  
Amara Elhoucine ◽  
Faical Miled
Keyword(s):  
Genetic Algorithms ◽  
Dynamic Systems ◽  
Behavioral Analysis ◽  
Bond Graphs

Bond Graph Binary Encoding Method for Genetic Algorithms Applications

2003 ◽  
Author(s):  
Germa´n L. Di´az-Cuevas ◽  
Roger F. Ngwompo
Keyword(s):  
Genetic Algorithms ◽  
Dynamic Systems ◽  
Binary Code ◽  
Worked Examples ◽  
Bond Graphs ◽  
Binary Encoding ◽  
Coding Method ◽  
Performance Specifications ◽  
Model Equations ◽  
Encoding Method

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.

scholarly journals Event Processing and Variable Part of Sample Period Determining in Combined Systems Using GA

2011 ◽  
Vol 19 (30) ◽  
pp. 99-104
Author(s):  
Maximilián Strémy ◽  
Pavol Závacký ◽  
Martin Jedlička
Keyword(s):  
Genetic Algorithms ◽  
Dynamic Systems ◽  
Sampling Period ◽  
Management Systems ◽  
Event Processing ◽  
Sample Period ◽  
Event Management ◽  
Variable Part ◽  
Processing Algorithms

Event Processing and Variable Part of Sample Period Determining in Combined Systems Using GA This article deals with combined dynamic systems and usage of modern techniques in dealing with these systems, focusing particularly on sampling period design, cyclic processing tasks and related processing algorithms in the combined event management systems using genetic algorithms.

Toward a unified and automated design methodology for multi-domain dynamic systems using bond graphs and genetic programming

Mechatronics ◽  
2003 ◽  
Vol 13 (8-9) ◽  
pp. 851-885 ◽  
Author(s):  
Kisung Seo ◽  
Zhun Fan ◽  
Jianjun Hu ◽  
Erik D. Goodman ◽  
Ronald C. Rosenberg
Keyword(s):  
Genetic Programming ◽  
Dynamic Systems ◽  
Design Methodology ◽  
Automated Design ◽  
Bond Graphs
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