• Journal of Electrical Engineering and Technology
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• 제7권4호
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• pp.486-492
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• 2012

This paper presents a novel objective function for distribution system reconfiguration for reliability enhancement. When islanding operations of distributed generators is prohibited, faults in the feeder interrupt the operation of distributed generators. For this reason, we include the customer interruption cost as well as the distributed generator interruption cost in the objective function in the network reconfiguration algorithm. The network reconfiguration in which genetic algorithms are used is implemented by MATLAB. The effect of the proposed objective function in the network reconfiguration is analyzed and compared with existing objective functions through case studies. The network reconfiguration considering the proposed objective function is suitable for a distribution system that has a high penetration of distributed generators.

• 대한조선학회논문집
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• 제42권3호
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• pp.284-289
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• 2005

A structural design system is developed for the optimum design of double hull tankers based on the multi-objective function method. As a multi-objective function method, Pareto optimal based random search method is adopted to find the minimum structural weight and fabrication cost. The fabrication cost model is developed by considering the welding technique, welding poses and assembly stages to manage the fabrication man-hour and process. In this study, a new structural design is investigated due to the rapidly increased material cost. Several optimum structural designs on the basis of high material cost are carried out based on the Pareto optimal set obtained by the random search method. The design results are compared with existing ship, which is designed under low material cost.

• 대한교통학회지
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• 제25권6호
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• pp.129-140
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• 2007

대중교통 운행계획 수립과정은 이론적인 연구의 특성에 따라 설계, 운영, 그리고 평가 단계로 구분할 수 있다. 운영단계와 평가단계에서 이루어지는 연구들에 대해서는 비교적 체계적으로 정리된 연구와 보고서들이 있으나 설계단계에 관한 연구들은 체계적으로 정리된 적이 없다. 본 연구에서는 대중교통 시스템설계에 관한 기존의 연구들을 검토하여 체계적으로 정리하였다. 또한 해당 연구들의 모형 구조를 자세히 분석하여 이의 풀이법을 정리하여 제시하였다. 설계단계에서 결정되는 결정변수로는 노선(망)의 구조, 노선간격 및 위치, 정류장 간격, 배차간격, 및 소요차량수 등이 있다. 노선설계에 관한 해석적 연구에서는 시스템의 총 비용이 목적함수로 많이 사용되고 이는 이용자의 접근비용, 대기비용, 그리고 통행비용으로 구성되는 이용자비용과 운영자의 운영비용으로 구성된다. 목적함수로 사용되는 대중교통 시스템의 총 비용은 노선간격, 배차간격 등의 결정변수들에 대해 미분가능하고 미분값을 0으로 만드는 값이 존재하며 2계 미분값이 양수이기 때문에 전역 최적해가 존재한다. 따라서 목적함수의 미분값을 0으로 만드는 결정변수가 목적함수를 최소로 만드는 최적치가 되며 이 최적치에서 각 부분 함수값들은 모두 동일해지게 된다. 본 연구는 대중교통 운행계획 중 설계단계의 해석적 연구에 대한 체계적인 이해를 도모할 것이며, 관련 연구를 활성화시키는데 큰 도움이 될 것으로 기대된다.

• 대한전기학회논문지
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• 제37권5호
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• pp.272-281
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• 1988

The problem of optimal transmission system planning is to find the most economical locations and time of transmission line construction under the various constraints such as available rights-of-way, finances, the technical characteristics of power system, and the reliability criterion of power supply, and so on. In this paper the constraint of right-of-way is represented as a finite set of available rights-of-way. And the constructed for a unit period. The electrical constraints are represented in terms of line overload and steady state stability margin. And the reliability criterion is dealt with the suppression of failure cost and with single-contingency analysis. In general, the transmission planning problem requires integer solutions and its objective function is nonlinear. In this paper the objective function is defined as a sum of the present values of construction cost and the minimum operating cost of power system. The latter is represented as a sum of generation cost and failure cost considering the change of yearly load, economic dispatch, and the line contingency. For the calculation of operating cost linear programming is adopted on the base of DC load flow calculation, and for the optimization of main objective function nonlinear Branch-and-Bound algorithm is used. Finally, for improving the efficiency of B & B algorithm a new sensitivity analysis algorithm is proposed.

• Journal of Power Electronics
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• 제19권1호
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• pp.168-178
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• 2019

Discrete space vector modulation (DSVM) is an effective method to improve the steady-state performance of the finite control set predictive control for permanent magnet synchronous motor drive systems. However, it requires complex computations due to the presence of numerous virtual voltage vectors. This paper proposes an improved finite control set model-free predictive control using DSVM to reduce the computational burden. First, model-free deadbeat current control is used to generate the reference voltage vector. Then, based on the principle that the voltage vector closest to the reference voltage vector minimizes the cost function, the optimal voltage vector is obtained in an effective way which avoids evaluation of the cost function. Additionally, in order to implement double-objective control, a two-level decisional cost function is designed to sequentially reduce the stator currents tracking error and the inverter switching frequency. The effectiveness of the proposed control is validated based on experimental tests.

• 한국의학물리학회:학술대회논문집
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• 한국의학물리학회 2002년도 Proceedings
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• pp.65-67
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• 2002

A PC based software, the RTP Research Tool Box (RTB), was developed for IMRT optimization research. The software was consisted of an image module, a beam registration module, a dose calculation module, a dose optimization module and a dose display module. The modules and the Graphical User Interface (GUI) were designed to easily amendable by negotiating the speed of performing tasks. Each module can be easily replaced to new functions for research purpose. IDL 5.5 (RSI, USA) language was used for this software. Five major modules enable one to perform the research on the dose calculation, on the dose optimization and on the objective function. The comparison of three cost functions, such as the uncomplicated tumor control probability (UTCP), the physical objective function and the pseudo-biological objective function, which was designed in this study, were performed with the RTB. The optimizations were compared to the simulated annealing and the gradient search optimization technique for all of the optimization objective functions. No significant differences were found among the objective functions with the dose gradient search technique. But the DVH analysis showed that the pseudo-biological objective function is superior to the physical objective function when with the simulated annealing for the optimization.

• 산업경영시스템학회지
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• 제40권1호
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• pp.165-172
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• 2017

Machines are physically or chemically degenerated by continuous usage. One of the results of this degeneration is the process mean shift. Under the process mean shift, production cost, failure cost and quality loss function cost are increasing continuously. Therefore a periodic preventive resetting the process is necessary. We suppose that the wear level is observable. In this case, process mean shift problem has similar characteristics to the maintenance policy model. In the previous studies, process mean shift problem has been studied in several fields such as 'Tool wear limit', 'Canning Process' and 'Quality Loss Function' separately or partially integrated form. This paper proposes an integrated cost model which involves production cost by the material, failure cost by the nonconforming items, quality loss function cost by the deviation between the quality characteristics from the target value and resetting the process cost. We expand this process mean shift problem a little more by dealing the process variance as a function, not a constant value. We suggested a multiplier function model to the process variance according to the analysis result with practical data. We adopted two-side specification to our model. The initial process mean is generally set somewhat above the lower specification. The objective function is total integrated costs per unit wear and independent variables are wear limit and initial setting process mean. The optimum is derived from numerical analysis because the integral form of the objective function is not possible. A numerical example is presented.

• 수산경영론집
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• 제49권4호
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• pp.19-36
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• 2018

Overstock in aquaculture is a matter of concern in aquaculture management. To sort fish based on fingerling size in case of overstocking is an important problem in aquaculture farm. This study aims to determine the amount of fry overstock and sorting time in aquaculture farm. This study builds a mathematical model that finds the value of decision variables to optimize objective function summing up the fingerling purchasing cost, aquaculture farm operating cost and feeding cost under mortality and farming period constraints. The proposed mathematical model involves following biological and economical variables and coefficients: (1) number of fingerlings, (2) sorting time, (3) fish growth rate and variation, (4) mortality, (5) price of a fry (6) feeding cost, and (7) possible sorting periods. Numerical simulation is presented herein. The objective of numerical simulation is to provide decision makers to analyse and comprehend the proposed model. When extensive biological data about growth function of fry becomes available, the proposed model can be widely applicable to real aquaculture farms.

• 대한기계학회논문집A
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• 제38권5호
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• pp.535-543
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• 2014

강건최적설계 분야에서 목적함수의 강건성은 목적함수의 변화가 둔감한 해를 강조한다. 일반적으로 목적함수의 강건성은 설계변수나 파라미터에 대한 목적함수의 변동을 줄임으로써 달성할 수 있다. 하지만, 기존의 방법들에서는 변동에 둔감한 목적을 달성하기 위해 목적함수의 값이 희생되는 경우가 있다. 또한, 설계변수의 수가 증가할수록 비선형계획법을 이용한 강건최적설계의 수치적 계산비용은 증가한다. 본 연구에서는 상한함수를 사용한 새로운 강건성지수와 비선형계획법에서의 강건최적설계 방법을 제안한다. 또한, 제안한 방법의 효율성을 향상시키기 위하여 선형화된 함수의 상한 값을 이용한 방법도 소개한다. 이를 다양한 수학예제에 적용하고 기존의 강건성지수와 수치적 성능 비교를 통해 제안한 방법의 유용성을 검증한다. 제안한 강건성지수는 목적함수의 성능에 손실이 발생하지 않으며 효율성을 크게 향상시킬 수 있다.

• Management Science and Financial Engineering
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• 제7권2호
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• pp.13-30
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• 2001

This paper discusses a paradox in an Indefinite Quadratic transportation Problem. Here, the objective function is the product of two linear functions. A paradox arises when the transportation problem admits of a total cost which is lower than the optimum cost, by transporting larger quantities of goods over the same route. A sufficient condition for the existence of a paradox is established. Paradoxical Range of flow is obtained for any given flow in which the corresponding objective function value is less than the optimum value of the given transportation problem. It is illustrated with the help of a numerical example.