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Verluste erstmal entfernt, macht die Auswertung zu komplex

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Bla Bla 2024-08-24 11:47:39 +02:00
parent 13601d5f12
commit 5d5514c901
1 changed files with 3 additions and 3 deletions
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6
modules/class_optimize.py
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@ -163,7 +163,7 @@ class optimization_problem:
strafe = 0.0
strafe = max(0,(parameter['eauto_min_soc']-ems.eauto.ladezustand_in_prozent()) * self.strafe )
gesamtbilanz += strafe
gesamtbilanz += o["Gesamt_Verluste"]/10000.0
#gesamtbilanz += o["Gesamt_Verluste"]/10000.0
return (gesamtbilanz,)
@ -186,8 +186,8 @@ class optimization_problem:
if start_solution is not None and start_solution != -1:
population.insert(0, creator.Individual(start_solution))
#algorithms.eaMuPlusLambda(population, self.toolbox, 100, 200, cxpb=0.2, mutpb=0.2, ngen=500, stats=stats, halloffame=hof, verbose=True)
algorithms.eaSimple(population, self.toolbox, cxpb=0.1, mutpb=0.1, ngen=400, stats=stats, halloffame=hof, verbose=True)
algorithms.eaMuPlusLambda(population, self.toolbox, 100, 200, cxpb=0.2, mutpb=0.2, ngen=1000, stats=stats, halloffame=hof, verbose=True)
#algorithms.eaSimple(population, self.toolbox, cxpb=0.2, mutpb=0.2, ngen=1000, stats=stats, halloffame=hof, verbose=True)
member = {"bilanz":[],"verluste":[],"nebenbedingung":[]}
for ind in population: