Mr. KAWAGUCHI Shuhei, who was a third-year doctoral student in the Network Design Program at the Graduate School of Advanced Mathematical Sciences at the time of presentation, received the 2023 Technical Meeting Encouragement Award of the Electronics, Information and Systems Society at the 2024 Annual Conference on Electronics, Information and Systems of the Institute of Electrical Engineers of Japan (IEEJ) held at Kindai University on Thursday, September 5, 2024.
In the Electronics, Information and Systems Society of IEEJ, the Technical Meeting Encouragement Award is given to an excellent paper presentation suitable for a young engineer among young researchers under 35 years of age at technical meetings organized by the technical committee of the Society.
<Awarded paper>
KAWAGUCHI Shuhei, FUKUYAMA Yoshikazu: “Integrated Supply and Demand Optimization in Factories using Improved Adaptive Integer form of Population-Based Incremental Learning-Reactive Tabu Search and a Production Simulator;” Joint Technical Meeting on Systems and Smart Facilities, IEEJ; ST-23-026, SMF-23-054; November 2, 2023
<Paper content>
Efforts to achieve carbon neutrality are being promoted worldwide. The energy consumption ratio of the manufacturing industry in all industries in Japan is about 42.2%, which is the highest among all industries. Therefore, energy conservation efforts in the manufacturing industry are important for achieving carbon neutrality.
In the paper, the authors proposed the IAIPBIL-RTS, a new evolutionary computation method that integrated the improved Adaptive Integer Form of Population Based Incremental Learning and the Reactive Tabu Search, applied it to a production planning optimization problem of a processing process in an actual assembly plant, and confirmed its effectiveness by comparing it with the conventional methods.
≪Japanese version≫
