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Search for human competitive results in open ended automated synthesis of a primordial mechatronic system
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Genetic And Evolutionary Computation Conference archive
Proceedings of the 2008 GECCO conference companion on Genetic and evolutionary computation table of contents
Atlanta, GA, USA
WORKSHOP SESSION: Graduate student workshops table of contents
Pages: 1827-1830  
Year of Publication: 2008
ISBN:978-1-60558-131-6
Author
Saheeb Ahmed Kayani  National University of Sciences and Technology, Rawalpindi, Pakistan
Sponsors
SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

The multi domain nature of a mechatronic system makes it difficult to model using a single modeling technique over the whole system as varying sets of system variables specific to each energy domain are required. Bond-Graphs offer an advanced object oriented modeling and simulation technique. They are domain independent allowing straight forward and efficient model composition, classification and analysis. Bond-Graph model of the mechatronic system can be directly simulated on a digital computer using simulation softwares like 20-Sim© and Modelica© graphically or manipulated mathematically to develop state-space representation using a simplified set of power and energy variables. The simulation scheme can be augmented to synthesize designs for mechatronic systems using genetic programming as a tool for open ended topology or functional design search. This research paper presents results of an experiment developed to combine Bond-Graphs with genetic programming for unified and automated design/synthesis of a simple/primordial multi domain dynamic or mechatronic system.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Saheeb Ahmed Kayani: colleagues