著者
安達 康生 安高 真一郎 植松 康祐 アダチ ヤスオ アタカ シンイチロウ ウエマツ コウユウ Yasuo Adachi Ataka Shinichiro Koyu Uematsu
雑誌
国際研究論叢 : 大阪国際大学紀要 = OIU journal of international studies
巻号頁・発行日
vol.29, no.2, pp.47-62, 2016-01-31

The cellular automaton was created by John Von Neumann and Stanislaw Marcin Ulam. What Von Neumann was interested in was a machine which could replicate itself and the first such machine in the logical world was the Neumann cellular automaton. Since then, the cellular automaton has been expanded to many fields such as biology, history, and complex systems. This paper suggests closed social structure models with the method based on the cellular automaton. We succeeded in finding some interesting facts using simulations. The results gained can be applied to models such as closed social structures nowadays or the existence of living creatures.
著者
安高 真一郎 アタカ シンイチロウ Shinichiro Ataka
雑誌
国際研究論叢 : 大阪国際大学紀要 = OIU journal of international studies
巻号頁・発行日
vol.24, no.3, pp.45-58, 2011-03-31

Logistics network design is one of the most important phases in supply chain management (SCM). Transportation problem (TP) is a we11-known basic network model that can be generally defined as a problem to minimize the total delivery cost. However, the concept of inventory is not included in a traditional TP model. Moreover, time concepts, such as carrying costs in a certain period, are not treated. These restrictions on this model profoundly affect the use of the TP model in the real world. In this paper, we formulate a Progressive Flexible Logistics Network Model (PFLN). In this model, l year is divided into several terms and the annual demands of delivery centers are satisfied for each term. To solve the problem, we applied an effective genetic algorithm (GA) method called the Boltzmann random key-based GA (Brk-GA).
著者
安高 真一郎 堀岡 久喜 安達 康生
出版者
日本知能情報ファジィ学会
雑誌
日本知能情報ファジィ学会 ファジィ システム シンポジウム 講演論文集 第29回ファジィシステムシンポジウム
巻号頁・発行日
pp.92, 2013 (Released:2015-01-24)

時間割の作成は、組合最適化問題の一つである。また、その組合せは教室の大きさや教員と学生数、授業の数など様々な要素により最適解を求めることが困難となる。本研究では、進化型計算手法として近年注目を集めている差分進化Differential Evolution (DE)を用い、効率よく質のよい準最適解を求める手法を提案する。