예제 #1
0
파일: Genome.py 프로젝트: maxdubakov/NEAT
    def _init_connections(self, input_nodes):
        for input_node in self._nodes[0:input_nodes + 1]:
            random_output_node = choice(self._nodes[input_nodes + 1:])
            new_connection = ConnectGene(input_node, random_output_node, -1)
            new_connection.set_innovation_number(
                self._generation.get_innovation_number(new_connection))

            input_node.append_con_out(new_connection)
            random_output_node.append_con_in(new_connection)
            self._generation.put_mutation(new_connection)
            self._connections.append(new_connection)
예제 #2
0
파일: Genome.py 프로젝트: maxdubakov/NEAT
    def _create_new_connections(self, found, node, connection_to_split):
        innov_1 = self._generation.innovation_number()
        innov_2 = self._generation.innovation_number() + 1
        in_connection = ConnectGene(connection_to_split.input_node(),
                                    node,
                                    innov_1,
                                    weight_type="previous",
                                    weight=connection_to_split.weight())
        out_connection = ConnectGene(node,
                                     connection_to_split.output_node(),
                                     innov_2,
                                     weight_type="one")

        both = 0
        if found:
            for mut in self._generation.mutations():

                if mut == in_connection:
                    in_connection.set_innovation_number(
                        mut.innovation_number())
                    both += 1
                if mut == out_connection:
                    out_connection.set_innovation_number(
                        mut.innovation_number())
                    both += 1

                if both == 2:
                    break
        else:
            self._generation.increase(2)
            self._generation.mutations().append(in_connection)
            self._generation.mutations().append(out_connection)

        return in_connection, out_connection
예제 #3
0
파일: Genome.py 프로젝트: maxdubakov/NEAT
    def _pick_nodes(self):

        without_output = []
        for node in self._nodes:
            if node.type() is not NeuronType.OUTPUT:
                without_output.append(node)

        in_node = choice(without_output)
        out_node = choice(self._nodes[self._input_nodes + 1:])
        while out_node == in_node or ConnectGene(out_node, in_node,
                                                 0) in self._connections:
            out_node = choice(self._nodes[self._input_nodes + 1:])

        return in_node, out_node
예제 #4
0
파일: Genome.py 프로젝트: maxdubakov/NEAT
    def _pick_connection(self):
        from_node, to_node = self._pick_nodes()
        connection = ConnectGene(from_node, to_node, -1)

        has_connection = True
        count = 0
        while has_connection and count < 10:
            if connection in self._connections:
                from_node, to_node = self._pick_nodes()
                connection = ConnectGene(from_node, to_node, -1)
            else:
                has_connection = False
                from_node.append_con_out(connection)
                to_node.append_con_in(connection)
            count += 1
        innov_number = self._generation.get_innovation_number(connection)
        connection.set_innovation_number(innov_number)
        return connection, has_connection