• 한국공간구조학회논문집
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• 제5권4호
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• pp.61-70
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• 2005

본 논문은 SUMT와 유전자알고리즘을 근거한 연속 및 이산최적설계 알고리즘에 의한 최적설계 프로그램을 개발하였다. 본 연구의 최적설계는 단동온실 구조물의 단면 연속 및 이산 최적설계가 각각 동시에 수행된다. 본 연구에서 목적함수는 구조물의 중량이고, 제약조건식은 한계상태설계기준에 대한 설계 제한식이다. 설계변수는 원형단면의 직경과 두께이다. 그리고 본 연구의 SUMT 및 유전자 알고리즘에 의한 연속 및 이산화 최적설계 프로그램의 적용을 위해 설계 예를 들었다.

• 한국농공학회:학술대회논문집
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• 한국농공학회 2005년도 학술발표논문집
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• pp.199-206
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• 2005

In paper the discrete optimum design program was developed using the continuous and discrete optimum algorithms based on the SUMT and genetic algorithms. In this paper, the objective function is the weight of structures and the constraints are limits state design limits method. The design variables are diameter and thick of steel pipe. Design examples are given to show the applicability of the optimum design using the continuous and discrete optimum algorithms based on the SUMT and genetic algorithms of this study.

• 한국농공학회논문집
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• 제46권2호
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• pp.77-89
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• 2004

This study was carried out to find out the reasonable optimum design method for the design of prestressed concrete structures. The optimum design problems were formulated and computer programs to solve these problems were developed. To test the reliablity, efficiency, possibility of application and reasonablity of optimum design problems and computer programs, both continuous optimization method and mixed-discrete optimization method were applied to the design of prestressed concrete composite girder and application results were discussed. It is proved that mixed-discrete optimization method is more reliable, efficient and reasonable than continuous optimization method for the optimum design of prestressed concrete structures.

• 한국농공학회:학술대회논문집
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• 한국농공학회 2001년도 학술발표회 발표논문집
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• pp.136-141
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• 2001

In this study, computer program for the optimum design of two continuous box culvert was developed. It was shown that even though the starting points and optimization method are different, the objective function and optimum design variables converge to a value within a close range respectively, and consequently the optimum design program developed in this study is reliable and robust. MMFD is the most efficient one from the viewpoint of convergency and computing time.

• 한국농공학회논문집
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• 제52권5호
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• pp.19-26
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• 2010

This study was conducted to find out the reasonable optimum design method of agricultural reinforced concrete structures. Selected design variables are the dimension of concrete section, reinforced steel area, and objective function is formulated by cost function. To test the reliability, efficiency, possibility of application and reasonability of optimum design method, both continuous optimization method and mixed-discrete optimization method were applied to the design of reinforced concrete superstructure of aqueduct and application results were discussed. It is proved that mixed-discrete optimization method is more reliable, efficient and reasonable than continuous optimization method for the optimum design of reinforced concrete agricultural structures.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 1999년도 봄 학술발표회 논문집(I)
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• pp.245-250
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• 1999

In this study, the development of graphic user interface(GUI) program for optimum design of RC continuous beam is dealt. Optimum design problem that satisfies strength, serviceability, durability and geometrical conditions is formulated as a non-linear programming problem(NLP) in which the objective function as well as the constraints are highly non-linear on design variables such as cross sectional dimensions and steel ratio. Optimum design problem is solved by NLP techniques namely, sequential linear programming(SLP), sequential convex programming(SCP). Numerical examples of R.C. continuous beam using GUI system are given to show usefulness of GUI system for practical design work and efficiency of algorithm for the NLP techniques.

• 한국공작기계학회논문집
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• 제16권5호
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• pp.205-210
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• 2007

The integration method of binary and real encoding in genetic algorithm is proposed to deal with design variables of various types in gear drive design. The method is applied to optimum design of multi-stage gear drive. Integer and Discrete type design variables represent the number of teeth and module, and continuous type design variables represent face width, helix angle and addendum modification factor etc. The proposed genetic algorithm is applied for the gear ratio optimization and the volume optimization(minimization) of multi-stage geared motor which is used in field. In result, the proposed design optimization method shows an effectiveness in optimum design process and the new design has a better results compared with the existing design.

• 한국농공학회논문집
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• 제52권6호
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• pp.49-56
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• 2010

This study was conducted to find out the best optimum design method for the design of reinforced concrete agricultural aqueduct abutment and pier structures. The mixed-discrete optimization and continuous optimization method were applied to the design of reinforced concrete agricultural aqueduct abutment and pier and the results of these optimization methods were compared each other. It is proved that mixed-discrete optimization method is more reliable, efficient and reasonable than continuous optimization method for the optimum design of the reinforced concrete agricultural aqueduct abutment and pier.

• 한국전산구조공학회논문집
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• 제13권1호
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• pp.1-11
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• 2000

본 논문에서는 철근콘크리트 연속보의 최적설계 문제를 다루었으며, 설계실무에서 사용하기 위한 GUI 시스템을 개발하였다. 최적설계 문제형성을 위해 목적함수로 콘크리트, 철근 그리고 거푸집의 경비함수로 취하였고, 설계변수는 보의 폭과 유효높이 그리고 철근비이다. 제약조건으로 강도, 사용성, 내구성 그리고 기하학적인 조건을 고려하였다. 이렇게 형성된 비선형 최적설계문제는 축차선형계획기법과 축차볼록계획기법을 사용하여 최적해를 구하였으며 그 효율성을 비교하였다. 또한 실제 설계실무에서 손쉽게 사용할 수 있도록 visual basic을 이용한 GUI 시스템을 개발하여 수치예를 통한 적용성을 보였다.

• 한국해양공학회지
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• 제24권6호
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• pp.109-113
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• 2010

We present the minimum weight optimum design of cross sectional for frame structures subject to natural frequency. The optimum design in this paper employ discrete and continuous design variables and Genetic Algorithms. In this paper, Genetic Algorithms is used in optimization process, and be used the method of Elitism and penalty parameters in order to improved fitness in the reproduction process. For 1-Bay 2-Story frame structure, in examples, continuous and discrete design variables are used, and W-section (No.1~No.64), from AISC, discrete data are used in discrete optimization. In this case, Exhaustive search are used for finding global optimum. Continuous variables are used for 1-Bay 7-Story frame structure. Two typical frame structure optimization examples are employed to demonstrate the availability of Genetic Algorithms for solving minimum weight optimum of frame structures with fundamental and multi frequency.