def nudge(problem, individual, east, increment):
if individual.anyscore == 1e32:
return individual
temp = []
for i, decision in enumerate(problem.decisions):
up = decision.up
low = decision.low
mutation = increment * (east.decisionValues[i] - individual.decisionValues[i])
temp.append(trim(individual.decisionValues[i] + mutation, low, up))
return jmoo_individual(problem, temp, None)
def nudge(problem, individual, east, increment, configuration):
if individual.anyscore == 1e32: return individual
temp = []
for i, decision in enumerate(problem.decisions):
up = decision.up
low = decision.low
if east.decisionValues[i] > individual.decisionValues[i] >= 0:
weight = +1
else:
weight = -1
mutation = increment % configuration["STORM"]["GAMMA"] * (
east.decisionValues[i] - individual.decisionValues[i])
temp.append(
trim(individual.decisionValues[i] + weight * mutation, low, up))
return jmoo_individual(problem, temp, None)
