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Begin
Best_fp:=fp;
CalculateScores(fp);
for iter:=1 to TSML {Tabu Search based mutation length}
(i,k):=SelectAssignment(fp);{on the basis of violation scores}
f_old:= fp[i,k];
f_new := SelectBestFrequency(fp, i, k); {which is not tabu}
AddToTabuList(i,k,f_old); AddToTabuList(i,k,f_new);
fp[i,k]:= f_new;
UpdateScores(fp);
If BetterThan(fp,Best_fp) then Best_fp=fp; End if
End for
End.
Genetic Tabu Search
Begin
P:=RandomInitPopulation(Pop_size);
For g:=1 to NbGenerations
(p1,p2):=SelectParents(P)
with a Pc probability do (f1,f2):=Crossover(p1,p2)
otherwise f1:=p1; f2:=p2;
f1:=TabuSearchOperator(f1); f2:=TabuSearchOperator(f2);
(v1,v2):=SelectVictims(P);
ReplaceBy(v1,f1); ReplaceBy(v2,f2);
End for
End.
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Begin
Best_seq:=seq;
p=Random(np);
CalculateScores(Seq[period]); {seq(period) corresponds to the frequency
plan of the period p}
for iter:=1 to TSML {Tabu Search based mutation length}
(i,k):=SelectAssignment(fp);{on the basis of violation scores}
f_old:= seq[p,i,k];
f_new := SelectBestFrequency(seq,p, i, k); {which is not tabu}
with a Pm1 probability, do
AddToTabuList(p,i,k,f_old); AddToTabuList(p,i,k,f_new);
seq[p,i,k]:= f_new;
else do
AddToTabuList(p,i,k,f_old); AddToTabuList(TOUT,i,k,f_new);
for each per=1..np do seq[per,i,k]:= f_new;
end with
UpdateScores(seq);
If BetterThan(seq,Best_fp) then Best_seq=seq; End if
End for
End.
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