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http://dx.doi.org/10.3796/KSFT.2008.44.1.057

Development of intelligent agent system for automated ship CAE modelling by non-deterministic optimized methods  

Bae, Dong-Myung (Department of Naval Architecture and Marine Systems Engineering, Pukyong Natational University)
Kim, Hag-Soo (Department of Naval Architecture and Marine Systems Engineering, Pukyong Natational University)
Shin, Chang-Hyuk (Department of Naval Architecture and Marine Systems Engineering, Pukyong Natational University)
Wang, Qing (Department of Naval Architecture and Marine Systems Engineering, Pukyong Natational University)
Publication Information
Journal of the Korean Society of Fisheries and Ocean Technology / v.44, no.1, 2008 , pp. 57-67 More about this Journal
Abstract
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.
Keywords
Relay search micro genetic algorithm; Artificial life algorithm; Intelligent agent system;
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