Kai-Chun Fan

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Multi-variate estimation of distribution algorithms (EDAs) build models via detecting interactions between genes and estimate the distributions to solve problems. EDAs have been applied for real world applications, but whether the models given by EDAs match what are really needed to solve the problems is yet unknown. This paper proposes using the number of(More)
  • Wei-Min Lin, Kai-Chun Fan, Keh-Chin Chang, Kung-Ming Chung
  • 2013
Solar water heaters represent the success story in the development of renewable energy in Taiwan. With increasing public awareness, there are over 0.3 million residential systems in operation. To disseminate solar water heaters in remote islands, economic feasibility and water quality are taken into account in this study. The payback period in Kinmen and(More)
Existing EDAs learn linkages starting from pairwise interactions. The characteristic function which indicates the relations among variables are binary. In other words, the characteristic function indicates that there exist or not interactions among variables. Empirically, it can occur that two variables should be sometimes related but sometimes not. This(More)
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