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Cell Evolutionary Algorithm: a New Optimization Method on Ground-State Energy of the Atomic
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作者 Liu Lian-jun, Xu Jing-wen, Mao You-dong, Li Yuan-xiang Department of Physics, Wuhan University, Wuhan 430072,China State Key Laboratory of Software Engineering,Wuhan University, Wuhan 430072, China 《Wuhan University Journal of Natural Sciences》 EI CAS 2000年第4期425-430,共6页
The purpose of this paper is to present a new general approach to solve ground-state energies of the double-electron systems in a uniform magnetic field, in which the basic element of evolution is the set in the solut... The purpose of this paper is to present a new general approach to solve ground-state energies of the double-electron systems in a uniform magnetic field, in which the basic element of evolution is the set in the solution space, rather than the point. The paper defines the Cell Evolutionary Algorithm, which implements such a view of the evolution mechanism. First, the optimal set in which the optimal solution may be obtained. Then this approach applies the embedded search method to get the optimal solution. We tested this approach on the atomic structure, and the results show that it can improve not only the efficiency but also the accuracy of the calculations as it relates to this specific problem. 展开更多
关键词 key words double electron systems GROUND state energy variational principle cell evolutionary algorithm evolutionary algorithm
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