향상된 인공생명 알고리듬에 의한 고속, 소폭 저널 베어링의 최적설계

Optimum Design of High-Speed, Short Journal Bearings by Enhanced Artificial Life Algorithm

This paper presents a combinatorial method to compute the solutions of optimization problem. The present hybrid algorithm is the synthesis of an artificial life algorithm and the random tabu search method. The hybrid algorithm is not only faster than the conventional artificial life algorithm, but also gives a more accurate solution. In addition, this algorithm can find all global optimum solutions. And the enhanced artificial life algorithm is applied to optimum design of high-speed, short journal bearings and the usefuless is verified through this example.