A Path Rerouting Planning Method for Multi-Formation Rendezvous Based on Improved Fungal Growth Optimizer
SUN Xuanmiao
SHEN Di
YU Fuping
NIU Xiaowei
Abstract：In the light of the problems that there still remain numerous constraints and difficulties in com-prehensive optimization in wartime for forward assembly path planning of multiple flight formations,a collaborative planning method is proposed based on the improved fungal growth optimization(IFGO)algo-rithm.Firstly,a population optimization strategy is proposed,and the Adaptive Boundary Reflection Mechanism is introduced to accelerate convergence efficiency.Secondly,a new perturbation mechanism is constructed to further enhance global search capability.Finally,flight conflicts are solved by adopting a multi-hypha collaborative optimization strategy,making optimal solution be even more close in under the premise of no conflicts.This paper constructs a comprehensive cost function in consideration of threats,flight distance,and fuel consumption based on the function that is used to make comparative experiments between IFGO and other algorithms with its performance verified on CEC2022 test functions.The results show that making 10 times repeatedly experiments under simple and complex environments,its average cost function is 7.89％ and 9.62％ lower than the comparison algorithms respectively,and ranks first in rank mean among the CEC2022 standard test functions.
Keywords：formation forward assemblyfungal growth optimizationpopulation optimizationadaptive boundary reflection mechanismperturbation mechanismmulti-hypha collaborative optimization
Publication Date：2025-12-25
Online Publishing Date：2025-12-26(First online date of this platform, not the publication date of the document)
Pages：11( 12-22 )