%0 Conference Paper %1 fan:2002:gecco %A Fan, Zhun %A Seo, Kisung %A Rosenberg, Ronald C. %A Hu, Jianjun %A Goodman, Erik D. %B GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference %C New York %D 2002 %E Langdon, W. B. %E Cantú-Paz, E. %E Mathias, K. %E Roy, R. %E Davis, D. %E Poli, R. %E Balakrishnan, K. %E Honavar, V. %E Rudolph, G. %E Wegener, J. %E Bull, L. %E Potter, M. A. %E Schultz, A. C. %E Miller, J. F. %E Burke, E. %E Jonoska, N. %I Morgan Kaufmann Publishers %K algorithms, applications, automation, bond design genetic graphs, mechatronic programming, real system, topology world %P 1073--1080 %T Exploring Multiple Design Topologies Using Genetic Programming And Bond Graphs %U http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-20.pdf %X To realize design automation of dynamic systems, there are two major issues to be dealt with: open-topology generation of dynamic systems and simulation or analysis of those models. For the first issue, we exploit the strong topology exploration capability of genetic programming to create and evolve structures representing dynamic systems. With the help of ERCs (ephemeral random constants) in genetic programming, we can also evolve the sizing of dynamic system components along with the structures. The second issue, simulation and analysis of those system models, is made more complex when they represent mixed-energy- domain systems. We take advantage of bond graphs as a tool for multi- or mixed-domain modeling and simulation of dynamic systems. Because there are many considerations in dynamic system design that are not completely captured by a bond graph, we would like to generate multiple solutions, allowing the designer more latitude in choosing a model to implement. The approach in this paper is capable of providing a variety of design choices to the designer for further analysis, comparison and trade-off. The approach is shown to be efficient and effective in an example of open-ended real- world dynamic system design application, a printer re-design problem. %@ 1-55860-878-8

@inproceedings{fan:2002:gecco, abstract = {To realize design automation of dynamic systems, there are two major issues to be dealt with: open-topology generation of dynamic systems and simulation or analysis of those models. For the first issue, we exploit the strong topology exploration capability of genetic programming to create and evolve structures representing dynamic systems. With the help of ERCs (ephemeral random constants) in genetic programming, we can also evolve the sizing of dynamic system components along with the structures. The second issue, simulation and analysis of those system models, is made more complex when they represent mixed-energy- domain systems. We take advantage of bond graphs as a tool for multi- or mixed-domain modeling and simulation of dynamic systems. Because there are many considerations in dynamic system design that are not completely captured by a bond graph, we would like to generate multiple solutions, allowing the designer more latitude in choosing a model to implement. The approach in this paper is capable of providing a variety of design choices to the designer for further analysis, comparison and trade-off. The approach is shown to be efficient and effective in an example of open-ended real- world dynamic system design application, a printer re-design problem.}, added-at = {2008-06-19T17:35:00.000+0200}, address = {New York}, author = {Fan, Zhun and Seo, Kisung and Rosenberg, Ronald C. and Hu, Jianjun and Goodman, Erik D.}, biburl = {https://www.bibsonomy.org/bibtex/269f640fcffe9e58a9dcd6554e64f9ea3/brazovayeye}, booktitle = {GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference}, editor = {Langdon, W. B. and Cant{\'u}-Paz, E. and Mathias, K. and Roy, R. and Davis, D. and Poli, R. and Balakrishnan, K. and Honavar, V. and Rudolph, G. and Wegener, J. and Bull, L. and Potter, M. A. and Schultz, A. C. and Miller, J. F. and Burke, E. and Jonoska, N.}, interhash = {65fe5432f1752a7a7d7003d69c49ee36}, intrahash = {69f640fcffe9e58a9dcd6554e64f9ea3}, isbn = {1-55860-878-8}, keywords = {algorithms, applications, automation, bond design genetic graphs, mechatronic programming, real system, topology world}, month = {9-13 July}, notes = {GECCO-2002. A joint meeting of the eleventh International Conference on Genetic Algorithms (ICGA-2002) and the seventh Annual Genetic Programming Conference (GP-2002)}, pages = {1073--1080}, publisher = {Morgan Kaufmann Publishers}, publisher_address = {San Francisco, CA 94104, USA}, timestamp = {2008-06-19T17:39:25.000+0200}, title = {Exploring Multiple Design Topologies Using Genetic Programming And Bond Graphs}, url = {http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-20.pdf}, year = 2002 }