constants.py

VOXELYZE_VERSION = '_voxcad'

ALGORITHM_TYPES = ["SO", "QN-MOEA", "MAP-ELITES", "NSLC", "MNSLC"]
PHYSICS_SIM_TYPES = ["CPU", "GPU"]


NUM_RANDOM_INDS = 1  # Number of random individuals to insert each generation
MAX_GENS = 1000  # Number of generations
POPSIZE = 15  # Population size (number of individuals in the population)
IND_SIZE = (5, 5, 5)  # Bounding box dimensions (x,y,z). e.g. IND_SIZE = (6, 6, 6) -> workspace is a cube of 6x6x6 voxels
SIM_TIME = 5  # (seconds), including INIT_TIME!
INIT_TIME = 1
DT_FRAC = .95  # Fraction of the optimal integration step. The lower, the more stable (and slower) the simulation.

TIME_TO_TRY_AGAIN = 30  # (seconds) wait this long before assuming simulation crashed and resending
MAX_EVAL_TIME = 60  # (seconds) wait this long before giving up on evaluating this individual
SAVE_LINEAGES = False
MAX_TIME = 8  # (hours) how long to wait before autosuspending
EXTRA_GENS = 0  # extra gens to run when continuing from checkpoint

CHECKPOINT_EVERY = 1  # How often to save an snapshot of the execution state to later resume the algorithm
SAVE_POPULATION_EVERY = 1  # How often (every x generations) we save a snapshot of the evolving population
LATTICE_DIM = 0.05

#Simple GA experiment
RUN_DIR_SO = "BodyBrainData"  # Subdirectory where results are going to be generated
RUN_NAME_SO = "BodyBrain"
SEEDS_JSON_SO = RUN_DIR_SO + "_seeds.json"
ANALYTICS_JSON_SO = RUN_DIR_SO + "_analytics.json"
# ANALYTICS_FILENAME_SO = RUN_DIR_SO + "_analytics"

#QN-MOEA experiment
RUN_DIR_QN = "BodyBrainQNData"  # Subdirectory where results are going to be generated
RUN_NAME_QN = "BodyBrainQN"
SEEDS_JSON_QN = RUN_DIR_QN + "_seeds.json"
ANALYTICS_JSON_QN = RUN_DIR_QN + "_analytics.json"
# ANALYTICS_FILENAME_MNSLC = RUN_DIR_QN + "_analytics"

#NSLC experiment
RUN_DIR_NSLC = "BodyBrainNSLCData"  # Subdirectory where results are going to be generated
RUN_NAME_NSLC = "BodyBrainNSLC"
SEEDS_JSON_NSLC = RUN_DIR_NSLC + "_seeds.json"
ANALYTICS_JSON_NSLC = RUN_DIR_NSLC + "_analytics.json"


#MAP-ELITES experiment
RUN_DIR_ME = "BodyBrainMEData"  # Subdirectory where results are going to be generated
RUN_NAME_ME = "BodyBrainME"
SEEDS_JSON_ME = RUN_DIR_ME + "_seeds.json"
ANALYTICS_JSON_ME = RUN_DIR_ME + "_analytics.json"

#M-NSLC experiment
RUN_DIR_MNSLC = "BodyBrainMNSLCData"  # Subdirectory where results are going to be generated
RUN_NAME_MNSLC = "BodyBrainMNSLC"
SEEDS_JSON_MNSLC = RUN_DIR_MNSLC + "_seeds.json"
ANALYTICS_JSON_MNSLC = RUN_DIR_MNSLC + "_analytics.json"
# ANALYTICS_FILENAME_MNSLC = RUN_DIR_MNSLC + "_analytics"