動的再構成可能ロボットシステムに関する研究 : 第23報,自己組織型生産システムにおける最適配置問題への遺伝的アルゴリズムの適用

概要

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This paper deals with a self-organizing manufacturing system (SOMS) which is introduced the concept of cellular robotic system. This system consists of two major layers. The lower one is a self-organization module, which has self-organizing ability for fitting other processes and environments into the intelligent manufacturing system. The higher one is a decision-making module, which is activated by interaction among processes. The manufacturing environment includes many optimization problems which are defined as ill-defined structures. There are stochastic search methods for these problems such as the simulated annealing and the genetic algorithm (GA). In this study, a method for optimizing the manufacturing system using the age-structured GA (ASGA) as the self-organization ability is proposed. The ASGA is applied to a press machining line which is capable of reorganizing the machine in itself, as an example of the SOMS. The effectiveness of the proposed method is demonstrated through numerical simulations.
一般社団法人日本機械学会の論文
1995-12-25