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双路径差异扰动沙猫群优化算法与逃生机制集成

Qian Qian1, Wentao Luo1, Jiawen Pan1

  • 1Yunnan Key Laboratory of Computer Technology Applications, Kunming University of Science and Technology, Kunming 650500, China.

The Review of scientific instruments
|November 18, 2024
PubMed
概括

一个新的算法,EDSCSO,通过改善复杂问题的种群多样性和效率来增强沙猫群优化 (SCSO). 它成功地优化了测试功能和现实世界的场景,如无人机路径规划.

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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
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