DRPSO:A multi-strategy fusion particle swarm optimization algorithm with a replacement mechanisms for colon cancer pathology image segmentation

Hu, Gang; Zheng, Yixuan; Houssein, Essam H.; Wei, Guo

doi:10.1016/j.compbiomed.2024.108780

Computers in Biology and Medicine

2024

DOI: 10.1016/j.compbiomed.2024.108780

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DRPSO:A multi-strategy fusion particle swarm optimization algorithm with a replacement mechanisms for colon cancer pathology image segmentation

Gang Hu,

Yixuan Zheng,

Essam H. Houssein

et al.

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A Multi-Strategy Improvement Secretary Bird Optimization Algorithm for Engineering Optimization Problems

Qin,

Liu,

Bai

et al. 2024

Biomimetics

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Based on a meta-heuristic secretary bird optimization algorithm (SBOA), this paper develops a multi-strategy improvement secretary bird optimization algorithm (MISBOA) to further enhance the solving accuracy and convergence speed for engineering optimization problems. Firstly, a feedback regulation mechanism based on incremental PID control is used to update the whole population according to the output value. Then, in the hunting stage, a golden sinusoidal guidance strategy is employed to enhance the success rate of capture. Meanwhile, to keep the population diverse, a cooperative camouflage strategy and an update strategy based on cosine similarity are introduced into the escaping stage. Analyzing the results in solving the CEC2022 test suite, the MISBOA both get the best comprehensive performance when the dimensions are set as 10 and 20. Especially when the dimension is increased, the advantage of MISBOA is further expanded, which ranks first on 10 test functions, accounting for 83.33% of the total. It illustrates the introduction of improvement strategies that effectively enhance the searching accuracy and stability of MISBOA for various problems. For five real-world optimization problems, the MISBOA also has the best performance on the fitness values, indicating a stronger searching ability with higher accuracy and stability. Finally, when it is used to solve the shape optimization problem of the combined quartic generalized Ball interpolation (CQGBI) curve, the shape can be designed to be smoother according to the obtained parameters based on MISBOA to improve power generation efficiency.

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A Multi-Strategy Improvement Secretary Bird Optimization Algorithm for Engineering Optimization Problems

Qin,

Liu,

Bai

et al. 2024

Biomimetics

View full text Add to dashboard Cite

show abstract

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DRPSO:A multi-strategy fusion particle swarm optimization algorithm with a replacement mechanisms for colon cancer pathology image segmentation

Cited by 1 publication

References 91 publications

A Multi-Strategy Improvement Secretary Bird Optimization Algorithm for Engineering Optimization Problems

A Multi-Strategy Improvement Secretary Bird Optimization Algorithm for Engineering Optimization Problems

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