Maritime navigation is an important mode of transportation in the country. With the development of the country and the world, there will inevitably be higher requirements for the safe transportation of ships in the future. Therefore, intelligent ships have become the latest research direction in ship design. And with the gradual development and improvement of big data and artificial intelligence technology in the industrial field, smart ships are an inevitable trend in the development of the shipbuilding industry. Smart ships need to maintain the stability of the ship to ensure the safety of the ship when operating at sea. Therefore, the research on the autonomous stowage of ballast water for smart ships in the future is very important. This paper analyzes the development background of intelligent ships, introduces the ship optimization model and optimization design algorithm, and speculates the future development direction of intelligent ships.

Recently, Korean shipbuilding industry is keeping up the position of world wide No. 1 in world shipbuilding market share. It is caused by endless efforts to develope new technologies and methods and fast development of IT technologies in Korea, to raise up its productivities and efficiency in shipbuilding industry with many kinds of optimizing methods including genetic algorithm or artificial life algorithm... etc. In this paper, we have suggested the artificial life algorithm with relay search micro genetic algorithm. and we have improved a defect of simple genetic algorithm for its slow convergence speed and added a variety of solution candidates with applying relay search simple genetic algorithm. Finally, we have developed intelligent agent system for ship CAE modeling. We have tried to offer some conveniences a ship engineer for repeated ship CAE modeling by changing ship design repeatedly and to increase its accuracy of a ship model with it.