论文部分内容阅读
提出了一种新的全局优化方法──数值遗传算法。该法可以处理连续变量参数的优化问题，能在很多局部较优中找到全局最优点，特别适合处理复杂的非线性问题。该法通过遗传操作不断改变个体和群体，使之逐渐适应环境；除新设计了交配和突变数值遗传操作外，本文还提出了记忆遗传操作，从而加快了运算的速度。采用这种算法，测定了新型化学发光材料的重要中间体──三氯水杨酸的酸常数及其与铜和铁的配合物的稳定常数。
A new global optimization method - numerical genetic algorithm is proposed. This method can deal with the optimization of continuous variable parameters and can find the global optimum in many local optimums. It is especially suitable for dealing with complex nonlinear problems. The method continuously changes individuals and groups through genetic manipulation to gradually adapt to the environment. In addition to the newly designed mating and mutation numerical genetic manipulation, this paper also proposed memory genetic manipulation, thus speeding up the operation. Using this algorithm, we determined the acid constant of trichlorosalicylic acid, an important intermediate of new chemiluminescent materials, and the stability constants of complexes with copper and iron.