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algorithm three » algorithm where (Expand Search), algorithm pre (Expand Search)
algorithm which » algorithm where (Expand Search), algorithm within (Expand Search)
three function » three functional (Expand Search), tree functional (Expand Search), time function (Expand Search)
which function » beach function (Expand Search)
algorithm a » algorithm _ (Expand Search), algorithm b (Expand Search), algorithms _ (Expand Search)
a function » _ function (Expand Search)
algorithm three » algorithm where (Expand Search), algorithm pre (Expand Search)
algorithm which » algorithm where (Expand Search), algorithm within (Expand Search)
three function » three functional (Expand Search), tree functional (Expand Search), time function (Expand Search)
which function » beach function (Expand Search)
algorithm a » algorithm _ (Expand Search), algorithm b (Expand Search), algorithms _ (Expand Search)
a function » _ function (Expand Search)
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Pseudo-code of DMDDPG algorithm.
Published 2025“…Next, a reward function is designed by integrating the decoupled multi-agent deterministic deep deterministic policy gradient (DMDDPG) algorithm. …”
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The ALO algorithm optimization flowchart.
Published 2024“…The required number of iterations was significantly better than other algorithms. In the verification of solving economic load dispatch, the improved ant-lion optimizer achieved a total fuel cost reduction of 0.10% -2.39% and 6% in both 3-unit and 6-unit simulations, respectively, compared to the other three algorithms. …”
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The IALO algorithm solution flowchart.
Published 2024“…The required number of iterations was significantly better than other algorithms. In the verification of solving economic load dispatch, the improved ant-lion optimizer achieved a total fuel cost reduction of 0.10% -2.39% and 6% in both 3-unit and 6-unit simulations, respectively, compared to the other three algorithms. …”
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Algorithm operation steps.
Published 2025“…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …”
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Benchmarking functions.
Published 2024“…To evaluate the performance of the proposed algorithm, 27 well-known test reference functions were selected for experimentation, which showed significant advantages compared to other algorithms. …”
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An Efficient Algorithm for Minimizing Multi Non-Smooth Component Functions
Published 2021“…<p>Many problems in statistics and machine learning can be formulated as an optimization problem of a finite sum of nonsmooth convex functions. We propose an algorithm to minimize this type of objective functions based on the idea of alternating linearization. …”
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Comparison of algorithm search curves.
Published 2023“…At the same time, the characteristics of Gaussian function are introduced to ensure the activity of hidden layer neurons. …”
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Function convergence curve.
Published 2024“…To evaluate the performance of the proposed algorithm, 27 well-known test reference functions were selected for experimentation, which showed significant advantages compared to other algorithms. …”
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Algorithm Parameter Setting.
Published 2025“…Therefore, an Improved Dueling Double DQN (D3QN) On-ramp Merging Strategy (IDS stands for the initials of Improved, D3QN, and Strategy) combined with a sine function is proposed, establishing a Vehicle Coordination System (VCS) to guide the merging of vehicles in multi-lane mainline traffic. …”