Evolutionary strategies of optimization

被引：21
|
作者：
Asselmeyer, T
Ebeling, W
Rose, H
机构：
[1] Institute of Physics, Humboldt University Berlin, Berlin, D-10115
来源：
PHYSICAL REVIEW E | 1997年 / 56卷 / 01期
关键词：
D O I：
10.1103/PhysRevE.56.1171
中图分类号：
O35 [流体力学]; O53 [等离子体物理学];
学科分类号：
070204 ; 080103 ; 080704 ;
摘要：
Evolutionary algorithms have proved to be a powerful tool for solving complex optimization problems. The underlying physical and biological strategies can equally be described by a Schrodinger equation. The properties of the dynamics of optimization are encoded in the spectrum of the Hamiltonian. Analytic solutions and convergence velocity of the dynamics are calculated and compared with simulations of the corresponding algorithms. The connection between physical and biological strategies is analyzed. Mixing both strategies creates a basic class of evolutionary algorithms improving robustness and velocity of optimization.
引用
收藏
页码：1171 / 1180
页数：10
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