论文信息 - Optimizing complex systems by means of adaptively controlled random search

Optimizing complex systems by means of adaptively controlled random search

Abstract A general class of random search methods for optimizing complex systems is considered. The special aim of this paper is the presentation of a uniform procedure to control the step sizes during the search process. A so-called variance function approach is proposed.

Joachim Born | J. Born

[1] N. Baba. Convergence of a random optimization method for constrained optimization problems , 1981 .

[2] Joachim Born,et al. Numerical solution of adaptation problems by means of an evolution strategy , 1979 .

[3] P. Feder. Numerical Techniques for Stochastic Systems , 1981 .

[4] W. Price. Global optimization by controlled random search , 1983 .

[5] Ingo Rechenberg,et al. Evolutionsstrategie : Optimierung technischer Systeme nach Prinzipien der biologischen Evolution , 1973 .

[6] H. P. Schwefel,et al. Numerische Optimierung von Computermodellen mittels der Evo-lutionsstrategie , 1977 .

[7] Hans-Paul Schwefel,et al. Numerical Optimization of Computer Models , 1982 .

[8] H. Zimmermann. Towards global optimization 2: L.C.W. DIXON and G.P. SZEGÖ (eds.) North-Holland, Amsterdam, 1978, viii + 364 pages, US $ 44.50, Dfl. 100,-. , 1979 .