CAJ | 학술논문

精确地计算磁场中二电子体系的基态能量是非常复杂和困难的，作者已用演化算法成功地处理了这类问题。并进一步针对传统演化算法中演化操作的对象是点集的不足，提出了一种改进的演化算法——细胞演化算法。此算法的主要思想是对集合进行操作，再采用嵌套式二次搜索方法以达到寻找最优解的目的。结果表明它不仅能处理复杂原子结构问题，而且较之传统的演化算法有速度快、精确度高等特点。
정학지계산자장중이전자체계적기태능량시비상복잡화곤난적，작자이용연화산법성공지처리료저류문제。병진일보침대전통연화산법중연화조작적대상시점집적불족，제출료일충개진적연화산법——세포연화산법。차산법적주요사상시대집합진행조작，재채용감투식이차수색방법이체도심조최우해적목적。결과표명타불부능처리복잡원자결구문제，이차교지전통적연화산법유속도쾌、정학도고등특점。
It is very difficult to calculate the accurate ground state energies of the double-electron systems in a uniform magnetic field. We had used Evolutionary Algorithm(EA) successful to solve the problems. the paper presents a improving evolutionary algorithm——Cell Evolutionary algorithm(CEA) further according to the objects are points set in the traditional EA. 　　The main thought of this algorithm is that the objects of evolutionary operations are sets, not points, again adopts the embeded search method to obtain the optimal solution. The results show that it not only can suit to complicated atomic systems, but also has the characteristics of the fast convergence rate and high accuracy compared with traditional EA.