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Herbert Palm and Lorin Arndt
The multi-objective optimization (MOO) of complex systems remains a challenging task in engineering domains. The methodological approach of applying MOO algorithms to simulation-enabled models has established itself as a standard. Despite increasing in c...
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Cheng-Hui Chen, Chen-Kun Tsung and Shyr-Shen Yu
The rarity of equipment failures results in a high level of imbalance between failure data and normal operation data, which makes the effective classification and prediction of such data difficult. Furthermore, many failure data are dominated by mixed da...
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Juliana Castaneda, Assumpta Jover, Laura Calvet, Sergi Yanes, Angel A. Juan and Milagros Sainz
Are algorithms sexist? This is a question that has been frequently appearing in the mass media, and the debate has typically been far from a scientific analysis. This paper aims at answering the question using a hybrid social and technical perspective. F...
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Yifei Zhang, Lijun Diao, Chunmei Xu, Jia Zhang, Qiya Wu, Haoying Pei, Liying Huang, Xuefei Li and Yuwen Qi
Configuration parameters of vehicular hybrid power systems (HPSs) are critical to their economy, weight, and fuel consumption. Many marine vehicles have parameters often set based on engineering experience when designing them, which often leads to excess...
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Yuanjie Ren, Lanyong Zhang, Peng Shi and Ziqi Zhang
The propulsion systems of hybrid electric ship output and load demand have substantial volatility and uncertainty, so a hierarchical collaborative control energy management scheme of the ship propulsion system is proposed in this paper. In a layer of con...
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