Paper
6 May 2022 Crow search algorithm with dynamic progressive strategy
Tingting Wang, Wei Dong, Xiaoxia Yang, Ankun He, Chengming Zhang
Author Affiliations +
Proceedings Volume 12176, International Conference on Algorithms, Microchips and Network Applications; 121760T (2022) https://doi.org/10.1117/12.2636476
Event: International Conference on Algorithms, Microchips, and Network Applications 2022, 2022, Zhuhai, China
Abstract
Crow search algorithm is a kind of swarm intelligence optimization algorithm, which simulates the behavior of crows tracking each other. In order to improve the convergence accuracy of the algorithm and better balance the local and global search strategies, this paper proposes the crow search algorithm based on dynamic progressive strategy (DPCSA). The DPCSA uses a reverse search mechanism to improve the convergence speed, introduces the dynamic progressive strategy into the key parameters: awareness probability and flight length, adds the global optimal position information to the position updating dynamically. These improved strategies make the simulation of optimization process more reasonable. In order to evaluate the effectiveness of DPCSA, a series of test functions are used for experiments and the results show that the improved algorithm has good performance.
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Tingting Wang, Wei Dong, Xiaoxia Yang, Ankun He, and Chengming Zhang "Crow search algorithm with dynamic progressive strategy", Proc. SPIE 12176, International Conference on Algorithms, Microchips and Network Applications, 121760T (6 May 2022); https://doi.org/10.1117/12.2636476
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KEYWORDS
Optimization (mathematics)

Algorithm development

Optical spheres

Particle swarm optimization

Particles

Statistical analysis

Strategic intelligence

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