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《Journal of Ship Mechanics》 2007-02
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Modification of genetic algorithm and its application in ship structural optimal design of a VLCC

ZHU Su-ji,GU Xue-kang,HU Jia-jun(China Ship Scientific Research Center,Wuxi 214082,China)  
Genetic algorithm is a kind of random optimization algorithm based on "best survive" concept.It has powerful global optimization ability,regardless of gradient information of the objective function.However,simple genetic algorithm has low efficiency in local extreme searching and might be easily premature.In this paper,a real-coded genetic algorithm used for continuous design variables optimization is presented,which is quite suitable for multimodal functions.By making some extensions,it can also be used in discrete variable optimization problems.For verification and validation of this modified genetic algorithm,first a set of classical test functions and a 10-bars truss structure are optimized.By comparison with the theoretical solution and published results,the efficiency and practicability of the algorithm are confirmed.For its application,the structures of the midship section of a very large crude oil carrier are optimized,396 structural dimensions are seen as design variables,the requirements of the JTP common structural rules are satisfied.All design varialbles are considered as discrete.After optimization,dimensions of some structural members are improved,and the total weight of the midship section is reduced.
【CateGory Index】: U674.133.1
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