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Titlebook: Advanced Intelligent Computing Technology and Applications; 19th International C De-Shuang Huang,Prashan Premaratne,Abir Hussain Conference

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發(fā)表于 2025-3-25 07:21:31 | 只看該作者
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發(fā)表于 2025-3-25 08:15:56 | 只看該作者
The Grammar of Psychological Concepts,ve optimization problems. The algorithm utilizes immune multi-objective evolutionary algorithm as a framework and adaptively selects two different antibody generation strategies based on the concentration of high-quality antibodies. Among them, one approach utilizes the proportional cloning operator
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發(fā)表于 2025-3-25 13:04:40 | 只看該作者
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發(fā)表于 2025-3-25 18:04:51 | 只看該作者
The Future of Human Spaceflight in Japang length of parallel applications with energy constraints in heterogeneous computing systems has garnered widespread attention. The crux of this problem lies in the rational conversion of energy constraints of the application to the energy constraints of each task, utilizing dynamic voltage and freq
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發(fā)表于 2025-3-25 20:35:47 | 只看該作者
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發(fā)表于 2025-3-26 01:32:52 | 只看該作者
The Future of Human Spaceflight in Japanons is robot movement, where an efficient path-planning algorithm is required in order to guarantee a safe and cost-effective movement. The main goal of the path planning technique is to find the shortest possible path to the destination while avoiding the obstacles on the route. This study proposes
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發(fā)表于 2025-3-26 04:23:32 | 只看該作者
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發(fā)表于 2025-3-26 09:32:36 | 只看該作者
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發(fā)表于 2025-3-26 13:59:48 | 只看該作者
https://doi.org/10.1007/978-3-319-50758-3em with time windows (MO2E-VRPTW). Minimizing the total carbon emissions and maximizing the customer satisfaction are the objectives that the MO2E-VRPTW needs to optimize. On the one hand, at the low-level of HHACOA, the quality of the initial population is improved by using two problem-based heuris
30#
發(fā)表于 2025-3-26 19:04:11 | 只看該作者
Sarbani Roy,Chandreyee Chowdhury important technique addressing this problem, and the main idea is to trade the computational cost of tasks for the communication cost. In this paper, we proposed a Task-Duplication based Clustering Scheduling (TDCS) algorithm which uses the task duplication technique and clustering to occur as litt
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