@article{Chang_Kao_Chou_Chang_2025,
	author = {Chang, Tsai-Hsin and Kao, Sheng Long and Chou, Chien-Chang and Chang, Hsiao Cheng},
	title = {Genetic Algorithm for Ship Robbery Emergency Reporting System},
	journal = {TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation},
	volume = {19},
	number = {2},
	pages = {609-615},
	year = {2025},
	url = {./Article_Genetic_Algorithm_for_Ship_Robbery_Chang,74,1543.html},
	abstract = {In contemporary maritime navigation, ships in distress primarily rely on satellite systems in conjunction with radio systems within the framework of the Global Maritime Distress and Safety System (GMDSS) to transmit distress signals. However, the insufficient confidentiality of satellite data enables pirates engaged in ship hijacking to intercept these signals, potentially endangering the safety of hostages on board. Additionally, the high communication costs associated with satellite information transmission often discourage fishing ships from incurring these expenses. Given these cost constraints, this study seeks to develop an intelligent emergency distress notification method integrated with the Automatic Identification System (AIS). Specifically, this study introduces an innovative intelligent radio emergency notification system by incorporating the concept of radio relay stations. The proposed system integrates the Genetic Algorithm (GA) with the Maritime Geographic Information System (MGIS) as an alternative rescue method for ships in distress. The system collects all relevant information from the distressed ship through shore stations, enabling it to respond to the ship and verify the receipt of distress messages transmitted via AIS. The proposed method functions as an intermediary for distress signal transmission and confirmation. By gathering ship positions, it establishes a mobile network for message dissemination, thereby enhancing the reliability and efficiency of emergency distress communications at sea.},
	doi = {10.12716/1001.19.02.33},
	issn = {2083-6473},
	publisher = {Gdynia Maritime University, Faculty of Navigation},
	keywords = {Automatic Identification System (AIS), Maritime Safety, Piracy, Satellite Communications, Global Maritime Distress and Safety System (GMDSS), Ship Security, Cybersecurity, Vessel Management Systems (VMS)}
}