基于改进遗传算法的计算机数学模型构建

面向遗传算法的数据冗余问题,设计改进遗传算法,与最小二乘法有机结合,构建计算机数学模型,以应对数据实时变化。在此基础上,针对具体问题实现计算机数学模型构建,加以验证分析,结果表明改进遗传算法的辨别能力较强,可寻求最优解,并在很大程度上提升运算效率与质量。通过Matlab软件进行方程组求解,明确参数具体使用区域,以解决估计参数范围与辨别等相关问题,仿真结果表明,基于改进遗传算法与最小二乘法的计算机数学模型,可显著扩展搜索空间,且运算效率相对较高。

Construction of Computer Mathematical Model Based on Improved Genetic Algorithm

Facing the problem of data redundancy of genetic algorithm,this paper designs and improves genetic algorithm,combines with least square method organically,constructs computer mathematical model to deal with real-time change of data.On this basis,the construction of computer mathematical model is realized and verified for specific problems.The results show that the improved genetic algorithm has strong discrimination ability,can seek the optimal solution,and to a large extent improve the operation efficiency and quality.By solving the equations by Matlab software,the specific use area of parameters is defined to solve the related problems such as estimation parameter range and discrimination.The simulation results show that the computer mathematical model based on improved genetic algorithm and least square method can significantly expand the search space and the operation efficiency is relatively high.