可再生能源2018，Vol.36Issue(6)：930-934,5.
基于自适应模拟退火遗传算法的风力机翼型优化设计
Research on adaptive simulated annealing genetic algorithm in wind turbine airfoil optimization design
摘要
Abstract
As the two main global optimization algorithms, genetic algorithm and simulated annealing algorithm have their own advantages and disadvantages in global search and local search. Combining the genetic algorithm with simulated annealing algorithm, this paper improves the airfoil optimization design based on the existing adaptive simulated annealing genetic algorithm. It proposes a random neighborhood expansion mechanism and adds this mechanism to the simulated annealing process. An improved adaptive simulated annealing genetic algorithm is formed. The improved adaptive simulated annealing genetic algorithm can improve the optimization efficiency of the algorithm and make it look for better results in the same time. Finally, an example of optimization design of NACA4418 is used to verify the optimization efficiency of the algorithm, and the feasibility of the algorithm in the optimal design of the airfoil is proved.关键词
风力机翼型/自适应模拟退火遗传算法/遗传算法/模拟退火算法/优化设计Key words
wind turbine airfoil/ adaptive annealing genetic algorithm/ genetic algorithm/simulated annealing algorithm/ optimize design分类
能源科技引用本文复制引用
刘华威,吴永忠,张朋杨,侯诗文..基于自适应模拟退火遗传算法的风力机翼型优化设计[J].可再生能源,2018,36(6):930-934,5.基金项目
中国水科院基本科研业务费项目(MK0145C112017) （MK0145C112017）
水利科技示范项目(SF-201614) （SF-201614）
青海省科技成果转化专项(2016-NK-132). （2016-NK-132）
