Optimization calculation method and information processing apparatus

An information processing apparatus, comprising:

• a memory;
• and
• a processor coupled to the memory and the processor configured to:
• generate individuals of a current generation with an individual selected in a previous generation as a parent individual by using an algorithm that obtains an optimal solution while generating a plurality of individuals for each generation, each of the plurality of individuals being an element of an electric device and the optimal solution indicating an optimal dimension of the element of the electric device;
• evaluate each individual of the current generation by using a predetermined evaluation function;
• calculate a constraint condition value of the current generation based on a constraint condition value of the previous generation and a constraint condition provisional value which is achieved by more than half of the individuals of the current generation, the constraint condition value indicating an upper limit value and a lower limit value of a dimension of the element of the electric device;
• determine whether a result of the evaluation for each individual of the current generation satisfies the constraint condition value of the current generation;
• determine a predetermined offset based on an attribute of each individual, which is generated by a mutation generating process that generates a mutation of a child individual, among individuals having the evaluation results that satisfies the constraint condition value of the current generation, the attribute of each individual indicating a sign of a random number added to each individual in the mutation generating process;
• and
• add the predetermined offset to the random number used to generate each individual of a next generation by the mutation generating process.

A non-transitory recording medium having stored therein a program that causes a computer to perform a process, the process comprising:

• generating individuals of a current generation with an individual selected in a previous generation as a parent individual by using an algorithm that obtains an optimal solution while generating a plurality of individuals for each generation, each of the plurality of individuals being an element of an electric device and the optimal solution indicating an optimal dimension of the element of the electric device;
• evaluating each individual of the current generation by using a predetermined evaluation function;
• calculating a constraint condition value of the current generation based on a constraint condition value of the previous generation and a constraint condition provisional value which is achieved by more than half of the individuals of the current generation, the constraint condition value indicating an upper limit value and a lower limit value of a dimension of the element of the electric device;
• determining whether a result of the evaluation for each individual of the current generation satisfies the constraint condition value of the current generation;
• determining a predetermined offset based on an attribute of each individual, which is generated by a mutation generating process that generates a mutation of a child individual, among individuals having the evaluation results that satisfies the constraint condition value of the current generation, the attribute of each individual indicating a sign of a random number added to each individual in the mutation generating process;
• and
• adding the predetermined offset to the random number used to generate each individual of a next generation by the mutation generating process.