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Titlebook: Bio-Inspired Computing: Theories and Applications; 17th International C Linqiang Pan,Dongming Zhao,Jianqing Lin Conference proceedings 2023

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發(fā)表于 2025-3-28 18:28:22 | 只看該作者
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發(fā)表于 2025-3-28 22:42:31 | 只看該作者
Schiffbautechnischen Gesellschafte has been proposed in this paper. Secondly, using the characteristics of the Dijkstra algorithm that can quickly find the optimal path, generate an initial feasible solution about the problem, and improve the problem that the initial pheromone of ant colony algorithm is insufficient and searching f
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發(fā)表于 2025-3-28 23:53:32 | 只看該作者
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發(fā)表于 2025-3-29 06:38:06 | 只看該作者
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發(fā)表于 2025-3-29 10:59:38 | 只看該作者
Bericht über das 25. Ge ch?ftsjahr 1923nd effectively utilize valuable solutions in tasks to improve the efficiency of knowledge transfer between tasks. Experimental results on single-objective multitasking optimization benchmark problems indicate that SAMTOA outperforms the other the state-of-the-art EMTO algorithms.
46#
發(fā)表于 2025-3-29 13:33:39 | 只看該作者
Schiffbautechnischen Gesellschaftraction algorithm and introduces a scoring mechanism to retain more correct matching points in the feature matching stage. Two different types of experiments were designed to validate our method. One is a single camera dataset experiment, which shows that our method is more accurate and robust than
47#
發(fā)表于 2025-3-29 17:24:26 | 只看該作者
Schiffbautechnischen Gesellschafto that the optimal obstacle avoidance strategy can be calculated through the optimization of the particle swarm optimization algorithm. The simulation research simulates the complex environment at sea and selects typical encounter situations in the maritime rules for testing. The simulation results
48#
發(fā)表于 2025-3-29 22:22:39 | 只看該作者
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發(fā)表于 2025-3-30 00:45:26 | 只看該作者
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發(fā)表于 2025-3-30 05:31:26 | 只看該作者
Surrogate Model-Assisted Evolutionary Algorithms for?Parameter Identification of?Electrochemical Modof the electrochemical model; thus, it can improve the identification accuracy significantly. However, how to select a proper surrogate model has not been studied adequately. In view of this, this paper compares seven different surrogate models’ performance for parameter identification and aims to p
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