在完成“基于Internet的多节点过程交互环境设计与实现”应用项目(远程在线医学诊断)中,提出了一种高度自适应的遗传算法,设计出自适应选择、自适应交叉及自适应变异3种遗传操作算子,无论在精度上还是收敛速度上都较其他的遗传算法有较大程度的提高。经过实践与仿真实验表明,该算法是可行且有效的,并具有较高的自适应性。 In the project of “Design and Implementation of Internet-based Multi-node Process Interactive Environment” (remote online medical diagnosis), a highly adaptive genetic algorithm is proposed to design adaptive selection, adaptive crossover and adaptive mutation The three kinds of genetic operators have a greater degree of improvement than other genetic algorithms, both in accuracy and in convergence rate. After practice and simulation experiments show that the algorithm is feasible and effective, and has a high adaptability.