Journal of System Simulation
Abstract
Abstract: Aiming at the problems of single algorithm, being prone to local optima, and weak generalization ability of the current strategies, based on an improved differential evolutionary algorithm, a chaos algorithm, an adaptive variational crossover algorithm, and a problem solution processing mechanism, a time slot allocation strategy is proposed. The chaos algorithm is used to initialize the population to increase the diversity and avoid the premature convergence. The selection probability parameter is then used to make the crossover and variation process more flexible, expanding the search range in early to increase the possibility of global optima in late. The experiment results show that the proposed algorithm outperforms the difference algorithm and genetic algorithm in all four indicators of time slot allocation balance, stability, algorithm efficiency, and generalization ability. The proposed algorithm achieves higher time slot allocation balance and algorithm efficiency, better stability, and stronger generalization ability.
Recommended Citation
Zhu, Yuting; Su, Huankun; Feng, Xiaodong; Lei, Shijie; and Fu, Yanfang
(2024)
"Time Slot Allocation Method of Data Link Based on Improved Difference Algorithm,"
Journal of System Simulation: Vol. 36:
Iss.
5, Article 18.
DOI: 10.16182/j.issn1004731x.joss.23-0095
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol36/iss5/18
First Page
1242
Last Page
1250
CLC
TP391.9
Recommended Citation
Zhu Yuting, Su Huankun, Feng Xiaodong, et al. Time Slot Allocation Method of Data Link Based on Improved Difference Algorithm[J]. Journal of System Simulation, 2024, 36(5): 1242-1250.
DOI
10.16182/j.issn1004731x.joss.23-0095
Included in
Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons