Open ndangtt opened 9 months ago
(Updated) on Jan 1, 2024
(used with runtime scenarios where maxTime is set, therefore, elitist is also set as 1)
maxTime
elitist
1
--capping 0/1 --cappingType [median, mean, worst, best] | capping == 1 --boundType [candidate, instance] | capping == 1 --testType f-test/t-test --elitist-limit [1, 10]
(numbered according to their potential importance)
We could add capping options: https://github.com/souzamarcelo/capopt
effort-type: time capping: True penalty: best-so-far envelope: area strategy: adaptive ag: 0.4 epsilon: 0.05
We could add evolutionary operators: https://github.com/NEO-Research-Group/irace-ea
--crossover and --mutation
If you are using maxTime, remove elitist=0.
elitist=0
You could also add --elitist-limit [1, 10].
--elitist-limit [1, 10]
thank you! We'll add that new one into the list
(Updated) on Jan 1, 2024
(used with runtime scenarios where
maxTime
is set, therefore,elitist
is also set as1
)Simple list of parameters to try first
--capping 0/1 --cappingType [median, mean, worst, best] | capping == 1 --boundType [candidate, instance] | capping == 1 --testType f-test/t-test --elitist-limit [1, 10]
Full list (to be considered at a later phase):
(numbered according to their potential importance)
We could add capping options: https://github.com/souzamarcelo/capopt
effort-type: time capping: True penalty: best-so-far envelope: area strategy: adaptive ag: 0.4 epsilon: 0.05
We could add evolutionary operators: https://github.com/NEO-Research-Group/irace-ea
--crossover and --mutation