Title :
Optimisation of the gas-exchange system of combustion engines by Genetic Algorithm
Author :
Rose, C.D. ; Marsland, S.R. ; Law, D.
Author_Institution :
Sch. of Eng. & Adv. Technol., Massey Univ., Palmerston North
Abstract :
Current techniques for the optimisation of combustion engine gas-exchange systems still predominantly use trial and error. This paper proposes a new method for the optimisation of these systems through the use of modified Genetic Algorithm techniques, principally a variable length chromosome encoding. Promising initial results are presented and discussed.
Keywords :
genetic algorithms; internal combustion engines; combustion engines; gas-exchange system optimisation; modified genetic algorithm techniques; variable length chromosome encoding; Automotive engineering; Computer errors; Encoding; Genetic algorithms; Humans; Internal combustion engines; Optimization methods; Process design; Software testing; System testing; combustion engine; genetic algorithm; optimisation; variable-length input encoding;
Conference_Titel :
Autonomous Robots and Agents, 2009. ICARA 2009. 4th International Conference on
Conference_Location :
Wellington
Print_ISBN :
978-1-4244-2712-3
Electronic_ISBN :
978-1-4244-2713-0
DOI :
10.1109/ICARA.2000.4804021
