Abstract: A chromosome is decoded by a decoding unit, and converted into parameters of a problem model calculation unit. In the problem model calculation unit, a controller executes a local search method unit, a GA search unit, or a stochastic search unit while suitably selecting any of them, so that a solution is generated. If a constraint violation is detected by a constraint violation determination unit during a solution generation process, an added part (a part which causes a constraint violation) is removed from a current solution by the constraint violation processing unit, and the solution generation process is continued.

Abstract: An intelligent information retrieval program generation system can easily generate an intelligent information retrieval program that is applicable to a wide-area information network such as the Internet. When questions to be used as criteria for determining conclusions, answer alternatives to the questions, and information of conclusions are inputted, a table defining unit defines a conclusion determining table which comprises answer alternatives to each of the questions and conclusions. A knowledge establishing unit displays the conclusion determining table on a display screen, receives inputted answer conditions for the conclusions to be selected, and establishes the answer conditions in the conclusion determining table. A retrieval program generator generates an intelligent information retrieval program for decoding the conclusion determining table in which the knowledge has been established, displaying questions, receiving answers to the questions, and determining conclusions depending on the answers.

Abstract: The present invention relates to the creating of an aircrew flight scheduling pattern as a time series pattern, and aims at facilitating the effective crew flight scheduling pattern creation by applying a genetic algorithm. A plurality of flight strings are created based on link relations among flights regarded as elements for one day which is defined as a first time span. A genetic algorithm is executed for each flight string, and daily crew flight scheduling patterns are created based on the most suitable evaluation value flight strings. For one month which is defined as a second time span, a monthly crew flight scheduling pattern is created based on the most suitable evaluation value daily pattern strings in the same way by regarding the daily crew flight patterns for 30 days as elements.

Abstract: A method of selecting a menu in accordance with a maximum correlation between a user input and stored parameters. A user is prompted to input a description of the desired function to be performed by the program. Keywords are selected from the users input and correlation factors are developed between the user input keywords and each of the various menus items within the program. If a correlation factor exceeds a predetermined threshold value, then the menu associated with the maximum correlation factor is displayed. As a result, an inexperienced user can, by interacting with the program choose a menu corresponding the user's desired function for the program.