complete normal neat algorithm
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@@ -1,29 +1,26 @@
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[basic]
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num_inputs = 2
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num_outputs = 1
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maximum_nodes = 5
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maximum_connections = 5
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maximum_species = 10
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maximum_nodes = 100
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maximum_connections = 100
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maximum_species = 100
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forward_way = "pop"
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batch_size = 4
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random_seed = 0
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network_type = 'feedforward'
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[population]
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fitness_threshold = 3.99999
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fitness_threshold = 3.9999
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generation_limit = 1000
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fitness_criterion = "max"
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pop_size = 1000
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[gene]
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gene_type = "normal"
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[genome]
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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_add_prob = 0.5
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conn_add_trials = 1
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conn_delete_prob = 0.4
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conn_delete_prob = 0.5
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node_add_prob = 0.2
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node_delete_prob = 0.2
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@@ -34,7 +31,7 @@ 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_move_rate = 0.5
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spawn_number_change_rate = 0.5
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[gene-bias]
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bias_init_mean = 0.0
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