著者

安田 恵一郎 熊谷 渉

出版者

公益社団法人 計測自動制御学会

雑誌

計測と制御 (ISSN:04534662)

巻号頁・発行日

vol.59, no.12, pp.914-917, 2020-12-10 (Released:2020-12-18)

参考文献数

13

著者

安田 恵一郎 永岡 右明

出版者

一般社団法人 日本機械学会

雑誌

設計工学・システム部門講演会講演論文集 2003.13 (ISSN:24243078)

巻号頁・発行日

pp.128-129, 2003-10-30 (Released:2017-06-19)

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Recent years, several multipoint-search-based meta-heuristics such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO) have been proposed and have been proved to be efficient methods for global optimization problems. In this report, a new multipoint-search method, which is based on the interaction among search points is proposed. Some simulations using typical knapsack problems verify the search performance of the proposed method.

著者

北山 哲士 安田 恵一郎

出版者

一般社団法人 電気学会

雑誌

電気学会論文誌C(電子・情報・システム部門誌) (ISSN:03854221)

巻号頁・発行日

vol.125, no.5, pp.813-820, 2005 (Released:2005-08-01)

参考文献数

24

被引用文献数

4 8

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Particle Swarm Optimization (PSO) for mixed integer programming problems is proposed. PSO is mainly a method to find a global or quasi-minimum for a nonlinear and non-convex optimization problem, and few researches about optimization problems with discrete decision variables have been studied. In this paper, we present the treatment of discrete decision variables. To treat discrete decision variables as a penalty function, it is possible to treat all decision variables as a continuous decision variable. As a result, the penalty parameter for the penalty function is needed. In this paper, we also present how to determine the penalty parameter for the penalty function. Through mathematical and structural optimization problems, we examine the validity of PSO for the mixed decision variables.

著者

安田 恵一郎 石井 綱吉

出版者

一般社団法人 電気学会

雑誌

電気学会論文誌B(電力・エネルギー部門誌) (ISSN:03854213)

巻号頁・発行日

vol.123, no.8, pp.907-917, 2003 (Released:2004-04-19)

参考文献数

14

被引用文献数

9 11 6

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New small-scale dispersed generation systems, such as fuel cells and micro gas-turbines have made remarkable advances lately and they will be applied practically in the near future. Although a large number of researches on the introduction of small-scale dispersed generation systems have been carried out, only a small number of small-scale dispersed generation systems are considered in these researches. Therefore, little is known about problems to be solved in case where a large number of small-scale dispersed generation systems are introduced into electric power systems. This paper deals with a super distributed energy system that consists of a great number of dispersed generation systems such as fuel cells, micro gas turbines and so on. The behavior of a customer with a dispersed generation system is simulated as the Ising model in statistical mechanics. The necessity of a distribution network in super distributed energy systems is discussed based on the Ising model. The feasibility of decentralized autonomous control using vicinity information is also investigated on the basis of stability analysis of the Hopfield neural network model.