摘要
首先介绍了基本遗传算法,并由基本遗传算法演化出小生境遗传算法。应用简单的测试函数对两种遗传算法进行测试,对两种遗传算法进行比较。然后应用小生境遗传算法对二维超声速进气道进行优化设计。在单目标优化设计中,以最大总压恢复系数为优化目标,在多目标优化设计中分别顾及到总压回复系数要求最大和增压比也要很高。在对进气道的优化设计之后,对单目标优化和多目标优化的结果进行比较。
Simple genetic algorithms is introduced at first, and niche genetic algorithms evolve from simple genetic algorithms. A simple test function is used to test the two GAs, and compare them. And then optimization design of the two-dimensional supersonic inlet is carried out with niche gas. In singular-objective optimization design, the maximal total pressure recovery coefficient is the objective function; and in the multi-objective, not only is the maximal total pressure recovery coefficient is the objective function but also the boost pressure ratio. The results of the two are compared, after the optimization design
出处
《科学技术与工程》
2009年第4期943-949,共7页
Science Technology and Engineering
关键词
遗传算法
小生境
进气道
优化设计
genetic algorithms niche inlet optimization design
