Title :
GABSys: using genetic algorithms to breed a combustion engine
Author :
Danielson, B. ; Foster, J. ; Frincke, D.
Author_Institution :
Idaho Univ., USA
Abstract :
Most engineering systems are designed on the basis of a steady, or static, state. However, dynamic effects must also be considered. This paper presents GABSys (Genetic Algorithm-Bond graph System), a tool for approximating design optimality for multi-dimensional dynamic systems. Although GABSys does require the assistance of an engineer, it can be used to “automatically” generate solutions to design problems. We illustrate GABSys´s utility by using it to design a two-stroke combustion engine. GABSys begins with behavioral requirements expressed in a bond graph and uses genetic algorithm techniques to produce a design that meets the specified behavioral requirements
Keywords :
CAD; bond graphs; genetic algorithms; internal combustion engines; mechanical engineering computing; GABSys; Genetic Algorithm-Bond Graph System; automatic solution generation; behavioral requirements; combustion engine design; design optimality approximation; dynamic effects; genetic algorithms; multi-dimensional dynamic systems; Bonding; Computational modeling; Design engineering; Differential equations; Genetic algorithms; Gyrators; Internal combustion engines; Steady-state; Stress; Transfer functions;
Conference_Titel :
Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4869-9
DOI :
10.1109/ICEC.1998.699722
