September 5, 2025電腦學刊

A Metaheuristic Algorithm Based on Incomplete Differential Proportional-Integral-Derivative Control

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This algorithm improves global optimization by balancing exploration and exploitation in complex problems.

The IDPOA achieves superior performance in finding global optima while avoiding local traps.
Statistical tests confirm the IDPOA's robustness and computational efficiency over existing algorithms.
This approach integrates historical deviation data with a dynamic tuning mechanism for enhanced results.
The algorithm demonstrated effectiveness on CEC2017 benchmark functions and real-world engineering challenges.

Xia et al. (2025) studied this question.

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