摘要
提出了一种由含实数域结构和目标函数信息的实数交叉和变异算子构成的实数遗传算法 ,并将其用于解决最大似然多散射点定位雷达成像问题。数字仿真结果表明 ,对非线性实变量函数优化问题 。
Getting global optimal solution of non linear real variable function is one of the principal problem in applied mathematics.A new real valued genetic algorithm is presented in this paper for the optimization of non linear real variable functions.It is composed of real valued crossover and mutation operators constructed with the information of real number field and objective function.And the proposed algorithm is used for rader imaging by maximum likelihood multiple scatter point localization.Simulation results shown that the real valued genetic algorithm is an ideal method for searching the global solution of non linear real variable functions both in convergence rate and accuracy.
出处
《工程数学学报》
CSCD
北大核心
2000年第3期1-5,共5页
Chinese Journal of Engineering Mathematics
基金
国家自然科学基金资助项目!( 69682 0 0 7号 )
空军气象局基础理论课题资助项目
