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Titlebook: Distributed Computing and Artificial Intelligence, 15th International Conference; Fernando De La Prieta,Sigeru Omatu,Antonio Fernánd Confe

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樓主: misperceive
11#
發(fā)表于 2025-3-23 12:13:06 | 只看該作者
12#
發(fā)表于 2025-3-23 14:53:17 | 只看該作者
A Genetic Algorithm Model for Slot Allocation Optimization to Brazilian CTOP Approach,ase the delay between available slots during CTOP. The slot optimization keeps improving in a safety-separating window of each aircraft en route. The case study presented an reducement about 70% of delay of a certain airline, when used this decision support system by air traffic control authority.
13#
發(fā)表于 2025-3-23 19:58:55 | 只看該作者
14#
發(fā)表于 2025-3-23 23:42:36 | 只看該作者
15#
發(fā)表于 2025-3-24 03:48:37 | 只看該作者
Moodsically. Personal Music Management Tool with Automatic Classification of Emotions,sic tool with perceptual characteristics associated with emotions and musical descriptors elements. The tool provides profile management, such as search engine, customizable playlist generation and song’s recommender alignment with emotional elements associated with music characteristics.
16#
發(fā)表于 2025-3-24 08:30:17 | 只看該作者
,Estimating the Purpose of Discard in?Mahjong to Support Learning for?Beginners,ect of the game informatics, we focus on providing a support system for human players. In order to support mahjong beginners, we constructed a system that displays hints and estimates the players’ purpose of discard based on the support vector machine.
17#
發(fā)表于 2025-3-24 13:51:40 | 只看該作者
18#
發(fā)表于 2025-3-24 17:09:24 | 只看該作者
The European Approach to PeacebuildingNK fitness landscapes. The results indicate that the complexity of the problem to be solved considerably shapes the effects of switching costs. Depending on the period of time in the search for superior solutions, switching costs may even have beneficial effects in terms of stabilizing the search and increasing the system’s performance.
19#
發(fā)表于 2025-3-24 20:52:52 | 只看該作者
https://doi.org/10.1007/978-1-349-04549-5 that aims to improve the allocation of students to supervisors while taking both the students’ and supervisors’ preferences with regards to research topics, and by providing a balanced allocation for supervisors’ workload. A Pareto optimal genetic algorithm has been designed and tested for the resolution of this problem.
20#
發(fā)表于 2025-3-25 01:13:30 | 只看該作者
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