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algorithm brain » algorithm ai (Expand Search), algorithm against (Expand Search), algorithm within (Expand Search)
using function » using functional (Expand Search), sine function (Expand Search), waning function (Expand Search)
brain function » barrier function (Expand Search), protein function (Expand Search)
algorithm brain » algorithm ai (Expand Search), algorithm against (Expand Search), algorithm within (Expand Search)
using function » using functional (Expand Search), sine function (Expand Search), waning function (Expand Search)
brain function » barrier function (Expand Search), protein function (Expand Search)
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Iteration curve of each algorithm: (a) Convergence curves of the average best fitness for functions F1-F10, (b) Convergence curves of the average best fitness for functions F11-F20...
Published 2025Subjects: “…dimensional benchmark functions…”
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CPU usage of benchmark function: (a) CPU Usage during the Execution of Benchmark Functions F21-F30, (b) CPU Usage during the Execution of Benchmark Functions F31-F40 and (c) CPU Us...
Published 2025Subjects: “…dimensional benchmark functions…”
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Iteration curve of benchmark function: (a) Convergence curves of the average best fitness for functions F21-F30, (b) Convergence curves of the average best fitness for functions F3...
Published 2025Subjects: “…dimensional benchmark functions…”
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The pseudocode for the NAFPSO algorithm.
Published 2025“…A scheduling optimization model based on the particle swarm optimization (PSO) algorithm is proposed. In view of the high-dimensional complexity and local optimal problems, the neighborhood adaptive constrained fractional particle swarm optimization (NACFPSO) algorithm is used to solve it. …”
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PSO algorithm flowchart.
Published 2025“…A scheduling optimization model based on the particle swarm optimization (PSO) algorithm is proposed. In view of the high-dimensional complexity and local optimal problems, the neighborhood adaptive constrained fractional particle swarm optimization (NACFPSO) algorithm is used to solve it. …”
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Results on the comparison of evolutionary and greedy algorithms with exact solution.
Published 2025Subjects: -
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ANOVA was performed to test the differences between the algorithms for each indicator.
Published 2024Subjects: -
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