بدائل البحث:
experiments using » experiments show (توسيع البحث), experimental testing (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), modeling algorithm (توسيع البحث), finding algorithm (توسيع البحث)
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
data algorithm » data algorithms (توسيع البحث), update algorithm (توسيع البحث), atlas algorithm (توسيع البحث)
element data » settlement data (توسيع البحث), relevant data (توسيع البحث), movement data (توسيع البحث)
experiments using » experiments show (توسيع البحث), experimental testing (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), modeling algorithm (توسيع البحث), finding algorithm (توسيع البحث)
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
data algorithm » data algorithms (توسيع البحث), update algorithm (توسيع البحث), atlas algorithm (توسيع البحث)
element data » settlement data (توسيع البحث), relevant data (توسيع البحث), movement data (توسيع البحث)
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Schematic diagram of chromosome coding.
منشور في 2025"…Firstly, from the perspective of data-driven, it crawls the historical data of driving speed through Baidu map big data platform, and uses a BP neural network optimized by genetic algorithm to predict the driving speed of vehicles in different periods. …"
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Comparison experiment parameter setting.
منشور في 2025"…BP neural network is widely used in prediction tasks, but their performance is easily affected by weights and biases, and thus metaheuristic algorithms are needed to optimize the network parameters. …"
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Algorithmic experimental parameter design.
منشور في 2024"…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"
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The result of RRT for experiment 1.
منشور في 2024"…To overcome the limitations, including slow convergence, high computational complexity, and unnecessary search while sampling the whole space, we have proposed the RE-RRT* (Robust and Efficient RRT*) algorithm. This algorithm adapts a new sampling-based path-finding algorithm based on sampling along the displacement from the initial point to the goal point. …"
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The result of RRT* for experiment 2.
منشور في 2024"…To overcome the limitations, including slow convergence, high computational complexity, and unnecessary search while sampling the whole space, we have proposed the RE-RRT* (Robust and Efficient RRT*) algorithm. This algorithm adapts a new sampling-based path-finding algorithm based on sampling along the displacement from the initial point to the goal point. …"
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170
The result of RRT* for experiment 1.
منشور في 2024"…To overcome the limitations, including slow convergence, high computational complexity, and unnecessary search while sampling the whole space, we have proposed the RE-RRT* (Robust and Efficient RRT*) algorithm. This algorithm adapts a new sampling-based path-finding algorithm based on sampling along the displacement from the initial point to the goal point. …"
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171
The result of RRT* for experiment 4.
منشور في 2024"…To overcome the limitations, including slow convergence, high computational complexity, and unnecessary search while sampling the whole space, we have proposed the RE-RRT* (Robust and Efficient RRT*) algorithm. This algorithm adapts a new sampling-based path-finding algorithm based on sampling along the displacement from the initial point to the goal point. …"
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Reward outcomes for each combination of task cue and policy in the experiment.
منشور في 2025الموضوعات: -
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Statistical results of various algorithms.
منشور في 2025"…Furthermore, inspired by the grey wolf optimization algorithm, use 3 excellent particle surround strategies instead of the original random selecting particles. …"
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MultiCRISPR-EGA: Optimizing Guide RNA Array Design for Multiplexed CRISPR Using the Elitist Genetic Algorithm
منشور في 2025الموضوعات: "…intelligent optimization algorithms…"
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Comparison of TMKMCRIGWO with four hybrid algorithms for dimension reduction rate.
منشور في 2024الموضوعات: -
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Accuracy of different electrical and optical neural networks for various input noise levels.
منشور في 2024الموضوعات: