Research on Capacitated Multi-Ship Replenishment Path Planning Problem Based on the Synergistic Hybrid Optimization Algorithm

Research on Capacitated Multi-Ship Replenishment Path Planning Problem Based on the Synergistic Hybrid Optimization Algorithm

Ship replenishment path planning is a critical problem in the field of maritime logistics. This study proposes a novel synergistic hybrid optimization algorithm (SHOA) that effectively integrates ant colony optimization (ACO), the Clarke–Wright algorithm (CW), and the genetic algorithm (GA) to solve...

Full description

Saved in:
Bibliographic Details
Main Authors: Lin Yang, Qinghua Chen, Junjie Mu, Tangying Liu, Xiaoxiao Li, Shuxiang Cai
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Biomimetics
Subjects:
path planning problem
capacitated multi-ship replenishment
synergistic hybrid optimization algorithm
ant colony algorithm
Clarke–Wright algorithm
genetic algorithm
Online Access:https://www.mdpi.com/2313-7673/10/5/285
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items