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Evolution and Optimum Seeking

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390 Appendix B<br />

GLEICH (real function) Name of the function for generating uniformly distributed<br />

r<strong>and</strong>om numbers.<br />

TKONTR (real function) Name of the run-time monitoring function.<br />

KANAL (integer) Channel number for output, relates only to messages output<br />

by subroutine PRUEFG concerning formal errors detected<br />

in the parameter list of subroutine KORR when the<br />

latter is called.<br />

3. Method<br />

KORR is a development from EVOL, Rechenberg's two membered strategy, <strong>and</strong>GRUP,<br />

the older version of Schwefel's multimembered evolution strategy. The method is based<br />

onavery much simpli ed simulation of biological evolution. See I. Rechenberg, <strong>Evolution</strong><br />

Strategy: Optimization of Technical Systems in Accordance with the Principles of Biological<br />

<strong>Evolution</strong> (in German), vol. 15 of Problemata series, Verlag Frommann-Holzboog,<br />

Stuttgart, 1973 also H.-P. Schwefel, Numerical Optimization of Computer Models, Wiley,<br />

Chichester, 1981 (translated by M. W. Finnis from Numerische Optimierung von<br />

Computer-Modellen mittels der <strong>Evolution</strong>sstrategie, vol. 26 of Interdisciplinary Systems<br />

Research, Birkhauser, Basle, Switzerl<strong>and</strong>, 1977).<br />

The IELTER parameter vectors are used to generate NACHKO new ones by introducing<br />

small normally distributed r<strong>and</strong>om changes. The IELTER best of these are used as<br />

starting points for the next generation (iteration). At the same time the strategy parameters<br />

are altered. These are the parameters of the current normal distributions for the<br />

lengths of the principal axes (st<strong>and</strong>ard deviations = step sizes) <strong>and</strong> the angular position<br />

of the mutation ellipsoid in N-dimensional space. Selection results in adaptation to local<br />

topology if the ratio NACHKO/IELTER is set large enough, e.g., at least 6. The r<strong>and</strong>om<br />

variations in the angles are produced by the addition of normally distributed r<strong>and</strong>om<br />

numbers, while those in the step sizes are produced from r<strong>and</strong>om numbers with a lognormal<br />

distribution by multiplication.<br />

4. Convergence criterion<br />

The termination criterion is based on value di erences in the objective function, see under<br />

KONVKR, EPSILO(3), <strong>and</strong> EPSILO(4).<br />

5. Peripheral I/O<br />

Input: none.<br />

Output: via channel KANAL, but only if there are formal errors in the<br />

parameter list of KORR. See under KANAL.<br />

6. Notes<br />

The two membered strategy (EVOL) usually has the shortest run time of all these evolution<br />

strategies (the EVOL, GRUP, <strong>and</strong> KORR codings so far developed) because ordinary<br />

(serial) computers can test the descendants only one after another in a generation, whereas<br />

in nature they are tested in parallel. The run times of the multimembered strategies increase<br />

less rapidly than in proportion to NACHKO because the convergence rate taken

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