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Herman Mawengkang, Muhammad Romi Syahputra, Sutarman Sutarman and Gerhard Wilhelm Weber
Water distribution networks (WDNs) are defined as the planning for the development, distribution, and utilization of water resources. The main challenge of WDNs is to preserve limited water resources while providing effective benefits from these resource...
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Claudio Szwarcfiter, Yale T. Herer and Avraham Shtub
Industrial projects are plagued by uncertainties, often resulting in both time and cost overruns. This research introduces an innovative approach, employing Reinforcement Learning (RL), to address three distinct project management challenges within a set...
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Soukaina Bouarourou, Abderrahim Zannou, El Habib Nfaoui and Abdelhak Boulaalam
Wireless sensor networks consist of many restrictive sensor nodes with limited abilities, including limited power, low bandwidth and battery, small storage space, and limited computational capacity. Sensor nodes produce massive amounts of data that are t...
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Kiyoharu Tagawa
In this paper, a new approach to solve Chance Constrained Problems (CCPs) using huge data sets is proposed. Specifically, instead of the conventional mathematical model, a huge data set is used to formulate CCP. This is because such a large data set is a...
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Ye Xu, Wei Li, Xiaowen Ding
Pág. 1 - 18
In this paper, a stochastic multi-objective chance-constrained programming model (SMOCCP) was developed for tackling the water supply management problem. Two objectives were included in this model, which are the minimization of leakage loss amounts and t...
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Yan Sun, Maoxiang Lang and Jiaxi Wang
In this study, we combine the fuzzy customer information problem with the multicommodity multimodal routing with schedule-based services which was explored in our previous study [1]. The fuzzy characteristics of the customer information are embodied in t...
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