9. A computer-implemented information processing method comprising: configuring, using a processor, an amount-of-feature extraction algorithm that determines whether an input signal has a particular characteristic by using a genetic search technique, the algorithm comprising: feature extraction expressions that specify: a type of the input signal, the type indicating a type of data representing the input signal; and operations to be performed on the input signal; and an information estimation expression including a linear combination of the feature extraction expressions, wherein the information estimation expression uses first-order values output from the feature extraction expressions to estimate information indicating features of the input signal; and generating pareto optimal solutions by selecting information estimation expressions having maximum values of evaluation indices; and selecting, from the pareto optimal solutions, an optimum algorithm that matches a requested condition of the evaluation indices.
9. A computer-implemented information processing method comprising: configuring, using a processor, an amount-of-feature extraction algorithm that determines whether an input signal has a particular characteristic by using a genetic search technique, the algorithm comprising: feature extraction expressions that specify: a type of the input signal, the type indicating a type of data representing the input signal; and operations to be performed on the input signal; and an information estimation expression including a linear combination of the feature extraction expressions, wherein the information estimation expression uses first-order values output from the feature extraction expressions to estimate information indicating features of the input signal; and generating pareto optimal solutions by selecting information estimation expressions having maximum values of evaluation indices; and selecting, from the pareto optimal solutions, an optimum algorithm that matches a requested condition of the evaluation indices. 11. The computer-implemented method according to claim 9 , wherein in an initial state, the algorithm configured in the configuring step is used as-as a pareto optimal solution.