一种改进的果蝇优化算法及其在气动优化设计中的应用

发布时间：2018-01-19 12:26

本文关键词： 果蝇优化算法味道浓度搜索步长翼型气动优化设计　出处：《航空学报》2017年04期 　论文类型：期刊论文

【摘要】：果蝇优化算法(FOA)是一种新的群体智能优化算法,具有良好的全局收敛特性。为进一步提高FOA的寻优性能,将其引入到气动优化设计中,发展形成了改进的果蝇优化算法(IFOA)。IFOA通过引入惯性权重函数动态调整搜索步长,有效实现了算法全局搜索和局部搜索之间的动态平衡,提高了算法整体搜索效率和寻优精度;对于多维优化问题,IFOA每次搜索仅随机扰动其中一个决策变量,并在每个迭代步内将所有优秀果蝇个体(可行解)结合产生一个全新的果蝇个体进行一次搜索,大大加快了算法的收敛速度。函数测试结果表明,IFOA显著提高了FOA的寻优性能。将IFOA应用到气动优化设计中,翼型反设计和单/多目标优化设计的算例表明,IFOA是一种简单高效的优化方法,可广泛应用于气动优化设计。
[Abstract]:Drosophila Optimization algorithm (FOAA) is a new swarm intelligence optimization algorithm with good global convergence. In order to further improve the optimization performance of FOA, it is introduced into aerodynamic optimization design. An improved Drosophila optimization algorithm, IFOAA. IFOA, was developed to dynamically adjust the search step size by introducing inertial weight function, which effectively realized the dynamic balance between global search and local search. The whole search efficiency and optimization accuracy of the algorithm are improved. For multi-dimensional optimization problems, only one of the decision variables is randomly perturbed in each IFOA search. In each iterative step, all excellent Drosophila individuals (feasible solutions) are combined to generate a new individual Drosophila search, which greatly speeds up the convergence of the algorithm. The function test results show that. IFOA improves the optimization performance of FOA significantly. The application of IFOA to aerodynamic optimization design shows that the airfoil reverse design and single / multi-objective optimization design are applied to the optimization design. IFOA is a simple and efficient optimization method, which can be widely used in aerodynamic optimization design.
【作者单位】：西北工业大学航空学院;
【基金】：国家自然科学基金(11172240) 航空科学基金(2014ZA53002) 国家“973”计划(2015CB755800)~~
【分类号】：TP18;V221
【正文快照】： 网络出版地址:www.cnki.net/kcms/detail/11.1929.V.20160623.1545.002.html引用格式:田旭,李杰.一种改进的果蝇优化算法及其在气动优化设计中的应用[J].航空学报,2017,38(4):120370.TIAN X,LI J.An improved fruit fly optimization algorithm and its application in aerody

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