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- W4387191750 abstract "An improved adaptive genetic algorithm is proposed to optimize the topology of the ship network. Considering the actual application scenario, as well as the factors such as network connectivity, node degree, communication link quality and communication cost, the total link gain of the ship network is maximized. In the selection operation, the improved genetic algorithm proposes an adaptive individual fitness adjustment formula to dynamically adjust the fitness value of individuals in the current population, Reduce the difference of fitness among individuals, increase the probability of individuals with low fitness entering the next operation through the selection process, and improve the diversity of the population. In the process of crossover and mutation, the adaptive adjustment coefficient is introduced, and the probability of crossover and mutation is adjusted, so that individuals with high fitness value can enter the next iteration process as much as possible. Simulation experiments show that the proposed improved algorithm can avoid premature convergence and jump out of local extremum, Finally, the optimal topology of the ship network is obtained by convergence, and the convergence speed is faster and the algorithm efficiency is higher." @default.
- W4387191750 created "2023-09-30" @default.
- W4387191750 creator A5032698563 @default.
- W4387191750 date "2023-08-18" @default.
- W4387191750 modified "2023-09-30" @default.
- W4387191750 title "Topology optimization algorithm of ship network based on improved adaptive genetic algorithm" @default.
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- W4387191750 doi "https://doi.org/10.1109/icsece58870.2023.10263576" @default.
- W4387191750 hasPublicationYear "2023" @default.
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