Unified description of evolutionary strategies over continuous parameter spaces

被引:7
作者
Asselmeyer, T
Ebeling, W
机构
[1] Institut of Physics, Humboldt University Berlin, D-10115 Berlin
关键词
evolutionary algorithms; velocities of algorithms; mixing of evolutionary algorithms;
D O I
10.1016/S0303-2647(96)01671-1
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Several standard processes for searching minima of potential functions, such as thermodynamical strategies (simulated annealing) and biologically motivated self-reproduction strategies, are reduced to Schrodinger eigenvalue problems. The properties of the landscape and the dynamics of the optimization are encoded in the spectrum of the Hamiltonian, which is different in both cases. We discuss some model cases with exact solutions. The connection between thermodynamical strategies and biologically motivated self-reproduction is analyzed and interpreted in the above context. In this way we introduce mixing of both strategies as a new powerful tool of optimization. (C) 1997 Elsevier Science Ireland Ltd.
引用
收藏
页码:167 / 178
页数:12
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