9 citations · 15 across the 6 of their papers we have counts for
6 papers
A Frequency-based Parent Selection for Reducing the Effect of Evaluation Time Bias in Asynchronous Parallel Multi-objective Evolutionary Algorithms
Tomohiro Harada
Parallel evolutionary algorithms (PEAs) have been studied for reducing the execution time of evolutionary algorithms by utilizing parallel computing. An asynchronous PEA (APEA) is…
A Fresh Approach to Evaluate Performance in Distributed Parallel Genetic Algorithms
Tomohiro Harada, Enrique Alba, Gabriel Luque
This work proposes a novel approach to evaluate and analyze the behavior of multi-population parallel genetic algorithms (PGAs) when running on a cluster of multi-core processors.…
Towards An Angry-Birds-like Game System for Promoting Mental Well-being of Players Using Art-Therapy-embedded PCG
Zhou Fang, Pujana Paliyawan, Ruck Thawonmas +1
This paper presents an integration of a game system and the art therapy concept for promoting the mental well-being of video game players. In the proposed game system, the player p…
A Personalized Method for Calorie Consumption Assessment
Yunshi Liu, Pujana Paliyawan, Takahiro Kusano +2
This paper proposes an image-processing-based method for personalization of calorie consumption assessment during exercising. An experiment is carried out where several actions are…
Adaptive Motion Gaming AI for Health Promotion
Pujana Paliyawan, Takahiro Kusano, Yuto Nakagawa +2
This paper presents a design of a non-player character (AI) for promoting balancedness in use of body segments when engaging in full-body motion gaming. In our experiment, we settl…
Procedural Generation of Angry Birds Levels using Building Constructive Grammar with Chinese-Style and/or Japanese-Style Models
YuXuan Jiang, Misaki Kaidan, Chun Yin Chu +2
This paper presents a procedural generation method that creates visually attractive levels for the Angry Birds game. Besides being an immensely popular mobile game, Angry Birds has…