CAJ | 학술논문

提出一种利用改进遗传算法解决浅层地下震动定位的问题，模拟时差定位模型进行震源坐标的求解，由于模型的复杂性，采用了浮点数编码的遗传算法，引入一种自适应的交叉算子和变异算子。实验结果表明，在保证种群数量的情况下，该算法性能大大优于一般遗传算法，能快速找到逼近全局最优的解，并且精度更高。
제출일충이용개진유전산법해결천층지하진동정위적문제，모의시차정위모형진행진원좌표적구해，유우모형적복잡성，채용료부점수편마적유전산법，인입일충자괄응적교차산자화변이산자。실험결과표명，재보증충군수량적정황하，해산법성능대대우우일반유전산법，능쾌속조도핍근전국최우적해，병차정도경고。
The paper presents an idea that using a modified genetic algorithm solves the problem of shallow ground vibration locali -zation, and the model of TDOA is used to calculate the source coordinates .Because of the complexity of the model , the genetic algo-rithm of float coding is adopted to introduce an adaptive crossover operator and an adaptive mutation operator .The experimental results show that when the populations are guaranteed , the algorithm performance is greatly superior to general genetic algorithm , and can quickly find the approximate global optimal solution , the precision is higher .