Biomimetics, Год журнала: 2025, Номер 10(3), С. 179 - 179

Опубликована: Март 13, 2025

Ship replenishment path planning has always been a critical concern for researchers in the field of security. This study proposes modified whale optimization algorithm (MWOA) to address single-task ship problems. To ensure high-quality initial solutions and maintain population diversity, hybrid approach combining nearest neighbor search with random is employed generation. Additionally, crossover operations destroy repair operators are integrated update whale’s position, significantly enhancing algorithm’s efficiency performance. Furthermore, variable neighborhood utilized local refine solutions. The proposed MWOA tested against several algorithms, including original algorithm, genetic ant colony optimization, particle swarm simulated annealing, using traveling salesman problems as benchmarks. Results demonstrate that outperforms these algorithms both solution quality stability. Moreover, when applied varying scales, consistently achieves superior performance compared other algorithms. demonstrates high adaptability addressing diverse problems, delivering efficient, high-quality, reliable

Язык: Английский