Development of the New Hybrid Evolutionary Algorithm for Low Vibration of Ship Structures

다국어 초록 (Multilingual Abstract)

This paper proposes a RSM-based hybrid evolutionary Algorithm (RHEA) which combines the merits of the popular programs such as genetic algorithm (GA), tabu search method and response surface methodology (RSM). This algorithm, for improving the convergent speed that is thought to be the demerit of genetic algorithm, uses response surface methodology and simplex method. The mutation of GA offers random variety to finding the optimum solution. In this study, however, systematic variety can be secured through the use of tabu list. Efficiency of this method has been proven by applying traditional left functions and comparing the results to GA. It was also proved that the newly suggested algorithm is very effective to find the global optimum solution to minimize the weight for avoiding the resonance of fresh water tank that is placed in the after body area of ship. According to the study, GA's convergent speed in initial stages is improved by using RSM method. An optimized solution is calculated without the evaluation of additional actual objective function. In a summary, it is concluded that RHEA is a very powerful global optimization algorithm from the view point of convergent speed and global search ability.

참고문헌 (Reference)

1 "Neural Network Toolbox for Use with MATLAB" 2005

2 "Handbook of Genetic Algorithms" New York pp.3~23.

3 "Genetic Algorithms in Search" Addison-Wesley Publishing Company 1-146, 1989

4 "Development of NASTRAN-based Optimization Framework for Vibration Optimum Design of Ship Structure" 15 (15): 1223-1231, 2005

5 "Development of Enhanced Genetic Algorithm and Its Applications to Optimum Design of Rotating Machinery" Pukyong National University 2003

6 "Bee System:Finding Solution by a Concentrated Search" 118-c (118-c): 721-726, 1998

7 "Bearing Parameters Identification Using Hybrid Optimization Algorithm" 4212-4219, 2003

8 "Application of a Genetic Algorithm to the Optimal Structural Design of a Ship's Engine Room Taking Dynamic Constraints into Consideration" 5 : 131-146, 2000

9 "An Enhanced Genetic Algorithm for Global and Local Optimization Search" 26 (26): 1008-1015, 2002