Classical genetic algorithm is simple and easy to understand. It is suitable for beginners to use. It is an algorithm for locating and sizing distributed power.

Filename	Size	Update
GAOT\arithXover.m	1490	1996-02-06
GAOT\b2f.m	1495	1996-02-06
GAOT\binaryMutation.m	1507	1996-02-06
GAOT\boundaryMutation.m	1642	1996-02-06
GAOT\calcbits.m	1382	1996-02-06
GAOT\Contents.m	3021	1996-02-06
GAOT\coranaEval.m	1451	1996-02-06
GAOT\coranaMin.m	1222	1996-02-06
GAOT\delta.m	1471	1996-02-06
GAOT\f2b.m	1492	1996-02-06
GAOT\ga.m	10718	1996-02-06
GAOT\gademo1.m	4830	1996-02-06
GAOT\gademo1eval1.m	1274	1996-02-06
GAOT\gademo2.m	2819	1996-02-06
GAOT\gademo3.m	6261	1996-02-06
GAOT\gaot.dvi	57780	1995-08-30
GAOT\gaot.ps	133622	1996-01-16
GAOT\gaotindex.html	3317	1996-02-07
GAOT\heuristicXover.m	2139	1996-02-06
GAOT\index.html	2600	1996-02-07
GAOT\initialize.m	3199	1996-02-06
GAOT\maxGenTerm.m	1265	1996-02-06
GAOT\multiNonUnifMutation.m	1991	1996-02-06
GAOT\nonUnifMutation.m	2193	1996-02-06
GAOT\normGeomSelect.m	2311	1996-02-06
GAOT\optMaxGenTerm.m	1421	1996-02-06
GAOT\parse.m	1459	1996-02-06
GAOT\README	803	1996-02-07
GAOT\roulette.m	1781	1996-02-06
GAOT\simpleXover.m	1614	1996-02-06
GAOT\tournSelect.m	1619	1996-02-06
GAOT\unifMutation.m	1651	1996-02-06
GAOT	0	1996-02-07

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