Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Structured synthesis of MEMS using evolutionary approaches
Applied Soft Computing
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
A genetic programming approach to business process mining
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Cooperative body–brain coevolutionary synthesis of mechatronic systems
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
International Journal of Computer Applications in Technology
Evolved finite state controller for hybrid system
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Intelligent technologies for investing: a review of engineering literature
Intelligent Decision Technologies
Polynomial modeling for time-varying systems based on a particle swarm optimization algorithm
Information Sciences: an International Journal
Hi-index | 0.00 |
This paper describes a unified network synthesis approach for the conceptual stage of mechatronic systems design using bond graphs. It facilitates knowledge interaction with evolutionary computation significantly by encoding the structure of a bond graph in a genetic programming tree representation. On the one hand, since bond graphs provide a succinct set of basic design primitives for mechatronic systems modeling, it is possible to extract useful modular design knowledge discovered during the evolutionary process for design creativity and reusability. On the other hand, design knowledge gained from experience can be incorporated into the evolutionary process to improve the topologically open-ended search capability of genetic programming for enhanced search efficiency and design feasibility. This integrated knowledge-based design approach is demonstrated in a quarter-car suspension control system synthesis and a MEMS bandpass filter design application.