摘要
针对空间飞行器轨道转移的时间-能量优化问题,提出了一种基于进化计算的多目标优化方法。该方法在非支配解排序和密度估计的基础上,设计了一种新的选择算子从父代中选择进入繁殖池的个体,并使用外部集合保存进化过程所得的非支配解。实验结果表明,该方法可以有效求解优化目标存在约束的轨道转移时间-能量优化问题,并显著提高Pareto前沿的散布性能。
A new evolutionary algorithm is proposed to solve the time-energy optimization problem of orbital transformation. Based on non-dominated sorting and density estimation, this algorithm uses a new selection operator to create mating pool by selecting solutions from parent population and uses an outer set to keep non-dominated solutions. Simulation results show that this algorithm can effectively solve the orbital transformation time-energy optimization problem with constraint of objective and has a better spread and distribution of solutions of Pareto front than existing algorithms.
出处
《计算机工程与设计》
CSCD
北大核心
2008年第3期735-737,共3页
Computer Engineering and Design
基金
国家自然科学基金项目(10577021)
关键词
轨道转移
多目标优化
进化算法
非支配解排序
密度估计
orbital transformation
multi-objective optimization
evolutionary algorithm
non-dominated sorting
density estimation
