76 lines
1.4 KiB
INI
76 lines
1.4 KiB
INI
[basic]
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random_seed = 0
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generation_limit = 1000
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fitness_threshold = 3.9999
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num_inputs = 2
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num_outputs = 1
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[neat]
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network_type = "feedforward"
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activate_times = 5
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maximum_nodes = 50
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maximum_conns = 50
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maximum_species = 10
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compatibility_disjoint = 1.0
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compatibility_weight = 0.5
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conn_add_prob = 0.4
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conn_delete_prob = 0
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node_add_prob = 0.2
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node_delete_prob = 0
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[hyperneat]
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below_threshold = 0.2
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max_weight = 3
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h_activation = "sigmoid"
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h_aggregation = "sum"
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h_activate_times = 5
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[substrate]
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input_coors = [[-1, 1], [0, 1], [1, 1]]
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hidden_coors = [[-1, 0], [0, 0], [1, 0]]
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output_coors = [[0, -1]]
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[species]
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compatibility_threshold = 3.0
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species_elitism = 2
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max_stagnation = 15
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genome_elitism = 2
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survival_threshold = 0.2
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min_species_size = 1
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spawn_number_change_rate = 0.5
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[gene]
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# bias
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bias_init_mean = 0.0
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bias_init_std = 1.0
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bias_mutate_power = 0.5
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bias_mutate_rate = 0.7
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bias_replace_rate = 0.1
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# response
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response_init_mean = 1.0
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response_init_std = 0.0
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response_mutate_power = 0.0
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response_mutate_rate = 0.0
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response_replace_rate = 0.0
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# activation
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activation_default = "sigmoid"
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activation_option_names = ["tanh"]
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activation_replace_rate = 0.0
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# aggregation
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aggregation_default = "sum"
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aggregation_option_names = ["sum"]
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aggregation_replace_rate = 0.0
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# weight
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weight_init_mean = 0.0
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weight_init_std = 1.0
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weight_mutate_power = 0.5
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weight_mutate_rate = 0.8
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weight_replace_rate = 0.1
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[visualize]
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renumber_nodes = True |