DOI QR코드

DOI QR Code

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

비 결정론적 최적화 기법을 이용한 선박의 CAE 모델링 자동화를 위한 지능형 에이전트 시스템의 개발

  • 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)
  • 배동명 (부경대학교 조선해양시스템공학과) ;
  • 김학수 (부경대학교 조선해양시스템공학과) ;
  • 신창혁 (부경대학교 조선해양시스템공학과) ;
  • 왕칭 (부경대학교 조선해양시스템공학과)
  • Published : 2008.02.29

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

References

  1. Baek, H.J., 2003. Hybrid action learning for environmental adaptation of intelligent agents. Master Thesis, Soongsil University, Korea, pp. 108
  2. Chae, S.I., 2004. Vibration optimum design of large vessel using global optimization and Nastran. Master Thesis, Pukyong National University, Korea, pp. 93
  3. Chung, S.I., N.H. Kim and S.P. Chang, 2001. Application of genetic algorithm-based relay search method for structure design-strengthening problems. Computational Structural Engineering Institute of Korea, Spring conference of COSEIK, pp. 223-232
  4. Kim, J.H., J.S. Lee, H.J. Lee and B.H. Ku, 2002. Micro genetic algorithms in structural optimization and their applications. Computational Structural Engineering Institute of Korea, Spring conference of COSEIK, pp. 225-232
  5. Kwon, W.Y., 2002. Action selection mechanism and learning algorithm for artificial life agent. Master Thesis, Han Yang University, Korea, pp. 51
  6. Shin, S.C., 2003. A study on the preliminary ship design using artificial intelligence. Ph.D. Thesis, Pusan National University, Korea, pp. 191
  7. Yang, B.S. and Y.H. Lee, 2001. Development of artificial life algorithm for optimum design. The Korean Society of Mechanical Engineers, 25-22, 173-181