Development of integrated evolutionary optimization algorithm and its application to optimum design of ship structures |
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Authors: | Young-Mo Kong Su-Hyun Choi Bo-Suk Yang Byeong-Keun Choi |
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Affiliation: | (1) Research Center, Daewoo Shipbuilding and Marine Engineering Ltd., 1 Aju-dong, Geoje, Gyungnam, 656-714, South Korea;(2) School of Mechanical Engineering, Pukyong National University, San 100, Yongdang-dong, Nam-gu, Busan, 608-793, South Korea;(3) School of Mechanical and Aerospace Engineering, The Institute of Marine Industry, Gyeongsang National University, 445 Inpyeong-dong, Tongyoung, Gyeongnam, 650-160, South Korea |
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Abstract: | This paper proposes an integrated evolutionary optimization algorithm (IEOA) which is combined with genetic algorithm (GA),
random tabu search method (TS) and response surface methodology (RSM). This algorithm, in order to improve the convergent
speed that is thought to be the demerit of GA, uses RSM and the simplex method. Though mutation of GA offers random variety,
systematic variety can be secured through the use of tabu-list. Efficiency of this method has been proven by applying traditional
test functions and comparing the results to GA. And it is an evidence that the newly suggested algorithm can effectively find
the global optimum solution by applying it to minimize the weight of fresh water tank that is placed in the rear of ship designed
to avoid resonance. According to the results, GA’s convergent speed in initial phase has been improved by using RSM. An optimized
solution was calculated without the evaluation of additional actual objective function. Finally, it can be concluded that
IEOA is a very useful global optimization algorithm from the viewpoint of convergent speed and global search ability. |
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Keywords: | Evolutionary optimization algorithms Genetic algorithm Response surface methodology Tabu search method Simplex method Fresh water tank |
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