A Hybrid Whale Optimization Algorithm Approach for Efficient Bottled Water Distribution
摘要
This study aims to construct an optimized distribution schedule for bottled water suppliers. The study introduces the Hybrid Whale Optimization Algorithm (HWA), which integrates three core search mechanisms: migration, priority selection, and prey enrichment, along with opposition-based learning and mutation-crossover methods. Its effectiveness has been validated through evaluations using 23 standard functions and a real-world case study focusing on water distribution in Vietnam. The results show that HWA is a powerful decision support tool that effectively facilitates optimal decision-making processes in water distribution path management.