CAJ | 학술논문

DNA遗传算法的化工过程建模参数估计是非常复杂的问题,但转化成非线性优化问题就可以设计一种新型的简便的建模方法。利用遗传算法具有适应性强的全局搜索优势,可以使用碱基对个体进行四进制编码,设计全新的变异算子与交叉算子,开发出一个新型的DNA遗传算法化工过程建模方法。两个经典测试函数计算结果表明,这种算法的搜索能力、拟合精度都比较理想。
DNA유전산법적화공과정건모삼수고계시비상복잡적문제,단전화성비선성우화문제취가이설계일충신형적간편적건모방법。이용유전산법구유괄응성강적전국수색우세,가이사용감기대개체진행사진제편마,설계전신적변이산자여교차산자,개발출일개신형적DNA유전산법화공과정건모방법。량개경전측시함수계산결과표명,저충산법적수색능력、의합정도도비교이상。
The DNA genetic algorithm of chemical process of modeling parameters estimation is very complex problems, but into a nonlinear optimization problems can be discussed a new type of modeling method, this paper through the use of genetic algorithm with adaptive strong global search advantage, this paper puts forward four individuals to use base pairs of code into, design the new mutation operator and crossover operator, developed a new type of DNA it genetic algorithm chemical process modeling method. Through the two classical test function calculation results show that this algorithm is search ability, fitting precision are ideal.