유전자 알고리즘을 이용한 크레인 GIRDER의 최적설계에 관한 연구
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The global optimal solution of the Crane Girder is sought using Finite Element Analysis and Genetic Algorithm. The genetic algorithm is based on the principle of organic evolution and genetics. It is an algorithm, applying the law of natural world as it is that the individual with a superior character is adapted to the natural world well and produces excellent descendants. At the beginning of genetic algorithm some biologists in the 1950's made use of computers for the simulation of biological system. However the achievements under John Holland in Michigan University at the beginning of 1960's established the genetic algorithm recently known to. A concept of evolutionary computation was designed fairy long time ago, and supported by a series of experiment later. The evolutionary program presented superior capacity to the other algorithms well known to the classical genetic algorithm, commercialized system, and the special problems. Minium weight with minium welding cost is searched subject to stress constraints and deflection constraints. Design variables selected are the height of Girder, thickness of Web and Flange, and the number of Stiffeners. The research can be summarized as follows: First, the Genetic Algorithm can be directly applicable to real engineering problem such as the Crane Girder design. Second, the optimum was found in 40 iterations. The optimum weight of Girder and the length of Weld were 65,656 kg, 2,231 m, respectively. It showed a reduction of 30.2%, 30.0% each. From above results, The overall procedure used for design optimization is shown effective and practically applicable to the design of complex multi-variable system.