Shigeyuki Tomita

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Many real problems with uncertainties may often be formulated as Stochastic Programming Problem. In this study, Genetic Algorithm (GA) which has been recently used for solving mathematical programming problem is expanded for use in uncertain environments. The modified GA is referred as GA in uncertain environments (GAUCE). In the method, the objective(More)
This paper proposes a recommendation method that focuses on not only predictive accuracy but also serendipity. On many of the conventional recommendation methods, items are categorized according to their attributes (a genre, an authors, etc.) by the recommender in advance, and recommendation is made using the results of the categorization. In this study,(More)
As the demand for software is increasing more rapidly than ever, demand for programmers is increasing. It is important to educate novice programmers in order to increase the population of programmers. They have to read source codes of various programs, when they learn programming. But, it is not easy task for them to understand the behavior of a program(More)
This paper presents an application of the idea called concept for realizing more appropriate representation of human preferences. In the previous study, we proposed the new information recommendation method. Concretely, items for recommendation were selected using the idea of concept, which are impressions of users on items inferred using tagging data of a(More)
A formal model for describing the behaviour of a discrete manufacturing system, where multiple jobs are carried out simultaneously and even overtaking of subtasks of different jobs may occur, and besides, that contains both External-Events and Internal-Events having no difference in the rate of incidence among them, was proposed. And besides, taking the(More)
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