At present, domestic cruise tourism is still an emerging tourism industry. Although all regions have great enthusiasm for the development of cruise tourism, some bottlenecks have appeared due to the lack of relevant planning. In terms of cruise manufacturing, such as large-scale fin stabilizers and low-speed design of engine, crankshaft, and propeller. To solve the above problems, it is very important to optimize the design of cruise travel routes based on wireless communication networks and genetic algorithms and research on economic development. This paper proposes the use of wireless sensor network (WSN) architecture and genetic algorithms in intelligent bionic algorithms to design cruise travel route optimization. Based on the research on the basic theory of the cruise industry, this article expounds the construction and operation of world-famous home ports and my country’s cruise home ports. Through the analysis and evaluation of the characteristics and development status of my country’s tourism and tourism resources, the possible impact of the construction of cruise home ports on the development of my country’s tourism industry under the new situation is discussed. The results of the study show that a cruise ship carrying 2010 tourists and 952 crew members will spend about 323,700 US dollars on shore tourists and crew every time it stops at its home port city. The average consumption is approximately US$273,000.
Optimization Design and Economic Development of Cruise Travel Routes Based on Wireless Communication Networks and Genetic Algorithms
