IEEE Intelligent Systems
What's AI Done for Me Lately? Genetic Programming's Human-Competitive Results
IEEE Intelligent Systems
Sustainable evolutionary algorithms and scalable evolutionary synthesis of dynamic systems
Sustainable evolutionary algorithms and scalable evolutionary synthesis of dynamic systems
Knowledge interaction with genetic programming in mechatronic systems design using bond graphs
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
Bond-graphs + genetic programming: analysis of an automatically synthesized rotary mechanical system
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
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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 are required. Bond-Graphs offer an advanced object oriented and polymorphic modeling and simulation technique. Bond-Graph model of the mechatronic system can be directly simulated on a digital computer using simulation softwares like 20-Sim graphically or manipulated mathematically to yield state equations using a simplified set of power and energy variables. The simulation scheme can be augmented to synthesize designs for mechatronic systems employing genetic programming as a tool for open ended search. This research paper presents results of an experiment developed to combine Bond-Graphs with genetic programming for unified and automated design of mechatronic or multi domain dynamic systems.