Comparing Two and Three Dimensional Optimization of Turbojet Engine with Multi Target Genetic Algorithm
نویسندگان
چکیده
In this paper, turbojet engine in ideal condition will be optimized by multi target genetic algorithm. The target functions are specific thrust (ST), specific fuel consumption (SFC) and thermal efficiency (ηt) that once will simultaneously be optimized by two by two way and the results will be revealed in the Pareto curves. For the second time these three objective functions will be optimized at the same time. At the end the findings of two by two ways will be compared with the results of three objective functions. Design variables are considered as Mach number and total compressor pressure ratio. The significant relation between objective functions is introduced according to Pareto points. There is no doubt that these functions without using methods are not considerable. KeywordsGenetic Algorithm, Pareto, Multi target optimization, Crossover, Mutation, Turbojet engine
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