A Flower Pollination Algorithm Based on Nonlinear Cross-Generation Differential Evolution and Its Application Study

被引：0
|
作者：
Liang L. [1 ]
Wei Y.-X. [1 ]
Li Y.-X. [1 ]
Jia Y.-J. [1 ]
机构：
[1] School of Microelectronics and Communication Engineering, Chongqing University, Chongqing
来源：
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2023年 / 51卷 / 09期
基金：
中国国家自然科学基金;
关键词：
cross-generation differential evolution; flower pollination algorithm; intelligent inspection; path planning; roulette wheel; unmanned aerial vehicle;
D O I：
10.12263/DZXB.20211674
中图分类号：
学科分类号：
摘要：
For the optimization problem of high-dimensional variables, we design a flower pollination algorithm based on nonlinear cross-generation differential evolution (FPA-NCDE). The algorithm guides individuals to approximate the optimal solution with cross-generation differential evolution to make local search process oriented. Meanwhile, the nonlinear inertia weight is set to improve the search convergence speed. The scaling factor and crossover probability are dynamically updated by parameter adaptive adjustment to enhance the population richness and reduce the number of local solutions. Combined with the cross-generation roulette wheel, the probability of trapping into local optimal solution is decreased. The performance evaluation verifies that the proposed FPA-NCDE can maintain good optimization characteristics and stability under different dimensional benchmark functions, especially under high dimensional test functions. In addition, FPA-NCDE is applied to unmanned aerial vehicle intelligent inspection of industrial internet to evaluate the performance of the algorithm in practical applications. The experiments results show that FPA-NCDE can satisfy the needs of low cost, high efficiency and avoidance of external attacks in inspection path planning. © 2023 Chinese Institute of Electronics. All rights reserved.
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页码：2445 / 2456
页数：11
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