Program / GS-17: Soft Computing: Evolutionary, Fuzzy & Reinforcement Learning

GS-17: Soft Computing: Evolutionary, Fuzzy & Reinforcement Learning

November 05 (Thursday) · 10:20–12:20 · Room 4

Chair: Yan Pei (Universtity of Aizu)

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10:20–10:40Paper ID: 26Full paper

Optimization of Hexa-Band Metasurface Parameters Using Evolutionary Computation

Jianan Wu (University of Aizu); Yan Pei (University of Aizu)*; Huiyan Jiang (Northeastern University)

10:40–11:00Paper ID: 105Full paper

Cryptocurrency Risk Management with Fuzzy Level Set Modeling

Leandro Maciel (University of Sao Paulo)*; Jo?o Pedro Canabrava (University of Sao Paulo); Gabriel Navarro (University of Sao Paulo); Fernando Gomide (University of Campinas)

11:00–11:20Paper ID: 230Full paper

Evolutionary Edge Bundling: Comparing Large-Scale and Many-Objective Evolutionary Algorithms

Chihiro Noda (Osaka Metropolitan University); Ryosuke Saga (Osaka Metropolitan University)*

11:20–11:40Paper ID: 255Full paper

IEC-Driven Camera Angle Recommendation System Considering User's Latent Preferences

Yuto Maeda (Kansai University)*; Emmanuel Ayedoun (Kansai University); Masataka Tokumaru (Kansai University)

11:40–12:00Paper ID: 301Full paper

An Empirical Analysis of Factors Affecting Offline Reinforcement Learning for Traffic Signal Control

Mariko Sugimura (Ochanomizu University)*; Ichiro Kobayashi (Ochanomizu University)

Presentations finish at 12:00. The scheduled session ends at 12:20.

Full paper: 15 minutes presentation + 5 minutes Q&A. Short, abstract-only and late breaking papers: 10 minutes presentation + 5 minutes Q&A. Speakers should bring their own laptop; presentation PCs are not provided.