• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권8호
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• pp.3529-3550
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• 2016

In heterogeneous networks (HetNets), energy saving is vital for a sustainable network development. Many techniques, such as spectrum allocation, network planning, etc., are used to improve the network energy efficiency (EE). In this paper, micro BSs utilizing cell range expansion (CRE) and spectrum allocation are considered in multi-channel heterogeneous networks to improve EE. Hotspot region is assumed to be covered by micro BSs which can ensure that the hotspot capacity is greater than the average demand of hotspot users. The expressions of network energy efficiency are derived under shared, orthogonal and hybrid subchannel allocation schemes, respectively. Particle swarm optimization (PSO) algorithm is used to solve the optimal ratio of subchannel allocation in orthogonal and hybrid schemes. Based on the results of the optimal analysis, we propose three service control strategies on the basis of large-scale user behaviors, i.e., adjust micro cell rang expansion (AmCRE), adjust micro BSs density (AmBD) and adjust micro BSs transmit power (AmBTP). Both theoretical and simulation results show that using shared subchannel allocation scheme in AmBD strategies can obtain maximal EE with a very small area ratio. Using orthogonal subchannel allocation scheme in AmCRE strategies can obtain maximal EE when area ratio is larger. Using hybrid subchannel allocation scheme in AmCRE strategies can obtain maximal EE when area ratio is large enough. No matter which service control strategy is used, orthogonal spectrum scheme can obtain the maximal hotspot user rates.

• 한국철도학회논문집
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• 제20권1호
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• pp.142-155
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• 2017

복수의 철도운영자가 철도네트워크를 공동으로 사용하는 경우, 철도운영자별로 열차운행비율, 우선순위 및 착발시각 등에 다툼이 발생하고, 이용수요가 많은 시간대에는 집중적으로 열차운행을 신청하여 열차 경합이 증대되는 현상이 점점 커질 것으로 예상된다. 본 연구는 열차출발시각을 결정변수로 하여 다양하게 주어진 열차시각표에서 열차운행순서, 최소운전시격, 착발시각, 열차우선순위 등을 해석하였으며, 각종 제약조건을 만족하도록 철도운영자들이 신청한 열차시각을 조정하고, 경합 해소가 불가능한 열차는 최종적으로 제거하는 방법을 통하여 목적함수인 철도운영에 현실적으로 적용 가능한 최대 수의 열차슬롯을 찾는 열차슬롯배분 모형을 제시하고자 하였다.

• 지능정보연구
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• 제13권3호
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• pp.101-117
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• 2007

본 논문에서는 연결성, 신뢰성, 교통량 제약조건을 만족하는 최소 비용의 소형궤도차량 선로네트워크를 설계하기 위한 유전알고리즘을 제안한다. 소형궤도차량 시스템은 다수의 자동화된 차량들이 공중에 설치된 선로네트워크를 따라 움직이는 신개념 교통 시스템이다. 주어진 역의 위치와 역간 교통량 수요에 대해 최적의 선로네트워크를 구하는 문제는 소형궤도차량 시스템에 관련된 가장 중요한 문제 가운데 하나이다. 본 논문에서는 선로네트워크를 방향성 링크를 갖는 그래프로 표현하고 그 비용과 연결성, 신뢰성, 교통량을 수식화하였다. 이렇게 주어진 네트워크 성능지표를 바탕으로 선로네트워크 설계 문제에 적절한 연산자들로 구성된 유전알고리즘을 제안한다. 이 연산자들은 안정상태 선택 연산자, 수리 알고리즘, 방향성이 있는 돌연변이 연산자를 포함한다. 제안된 유전알고리즘의 적절한 변수를 결정하고 그 성능을 타 알고리즘과 비교하기 위한 실험을 수행하였다. 최대 210개의 링크를 갖는 선로네트워크에 대해 수행된 실험결과는 제안된 유전알고리즘이 적절한 시간 내에 만족스러운 해를 구할 수 있음을 보인다.

• Industrial Engineering and Management Systems
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• 제7권2호
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• pp.171-181
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• 2008

Home care, known also as domiciliary care, is part of the community care service that is a responsibility of the local government authorities in the UK as well as many other countries around the world. The aim is to provide the care and support needed to assist people, particularly older people, people with physical or learning disabilities and people who need assistance due to illness to live as independently as possible in their own homes. It is performed primarily by care workers visiting clients' homes where they provide help with daily activities. This paper is concerned with the dispatching of care workers to clients in an efficient manner. The optimized routine for each care worker determines a schedule to achieve the minimum total cost (in terms of distance traveled) without violating the capacity and time window constraints. A collaborative population-based meta-heuristic called Particle Swarm Optimization (PSO) is applied to solve the problem. A particle is defined as a multi-dimensional point in space which represents the corresponding schedule for care workers and their clients. Each dimension of a particle represents a care activity and the corresponding, allocated care worker. The continuous position value of each dimension determines the care worker to be assigned and also the assignment priority. A heuristic assignment scheme is specially designed to transform the continuous position value to the discrete job schedule. This job schedule represents the potential feasible solution to the problem. The Earliest Start Time Priority with Minimum Distance Assignment (ESTPMDA) technique is developed for generating an initial solution which guides the search direction of the particle. Local improvement procedures (LIP), insertion and swap, are embedded in the PSO algorithm in order to further improve the quality of the solution. The proposed methodology is implemented, tested, and compared with existing solutions for some 'real' problem instances.

• 지능정보연구
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• 제15권1호
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• pp.1-14
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• 2009

본 연구에서는 한정 용량 차량 경로탐색 문제(CVRP, Capacitated Vehicle Routing Problem)에서 이분 시드 검출 방법(Bisection Seed Detection)을 이용한 휴리스틱 알고리즘을 제안하였다. 이 알고리즘은 3단계로 구성된다. 1단계에서는 improved sweep 알고리즘을 이용해서 초기 클러스터를 구성한다. 2단계에서는 1단계에서 얻은 각 클러스터에 대하여 이분 시드 검출 법을 이용해서 seed 노드를 선택하고, regret 값에 따라 각 경로에 고객 노드들을 삽입 함으로서 차량 이동 경로를 생성한다. 3단계에서는 tabu 탐색 방법과 노드 교환 알고리즘(node exchange algorithm)을 이용하여 2단계에서 얻어진 각 경로를 더욱 향상 시킨다. 본 논문의 실험에서는 제안된 휴리스틱이 비교적 빠른 시간 내에 최적 근사 값을 얻을 수 있음을 보였으며, 이는 빠른 실행 시간을 요구하는 실 업무에 유용하다.

• 정보처리학회논문지B
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• 제17B권5호
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• pp.389-398
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• 2010

차량 경로 스케줄링 문제(VRSPTW, the Vehicle Routing and Scheduling Problem with Time Window)는 여러 고객의 시간 제약과 요구량을 만족시키면서 최소 이동 비용을 가지는 경로를 구성하는 문제이다. 이 문제는 NP-Hard 문제이기 때문에 해를 산출하는데 시간이 오래 걸린다. 본 연구는 VRSPTW를 빠른 시간 내에 최근사해를 구하기 위한 멀티 비용 함수(Multi Cost Function)를 갖는 개미 군집 최적화(Ant Colony Optimization)을 이용한 휴리스틱을 제안하였다. 멀티 비용 함수는 각 개미가 다음 고객 노드로 이동하기 위해 비용을 평가할 때 거리, 요구량, 각도, 시간제약에 대해 서로 다른 가중치를 반영하여 우수한 초기 경로를 구할 수 있도록 한다. 본 연구의 실험결과에서 제안된 휴리스틱이 Solomon I1 휴리스틱과 기회시간이 반영된 하이브리드 휴리스틱보다 효율적으로 최근사 해를 얻을 수 있음을 보였다.

• 경영과학
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• 제32권4호
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• pp.109-133
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• 2015

This paper considers the allocation and engagement scheduling of air defense missiles by using MIP (mixed integer programming). Specifically, it focuses on developing a realistic MIP model for a real battle situation where multiple enemy missiles are headed toward valuable defended assets and there exist multiple air defense missiles to counteract the threats. In addition to the conventional objective such as the minimization of surviving target value, the maximization of total intercept altitude is introduced as a new objective. The intercept altitude of incoming missiles is important in order to minimize damages from debris of the intercepted missiles and moreover it can be critical if the enemy warhead contains an atomic or chemical bomb. The concept of so called the time window is used to model the engagement situation and a continuous time is assumed for flying times of the both missiles. Lastly, the model is extended to simulate the situation where the guidance radar, which guides a defense missile to its target, has the maximum guidance capacity. The initial mathematical model developed contains several non-linear constraints and a non-linear objective function. Hence, the linearization of those terms is performed before it is solved by a commercially available software. Then to thoroughly examine the MIP model, the model is empirically evaluated with several test problems. Specifically, the models with different objective functions are compared and several battle scenarios are generated to evaluate performance of the models including the extended one. The results indicate that the new model consistently presents better and more realistic results than the compared models.

• Journal of Electrical Engineering and Technology
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• 제10권5호
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• pp.1921-1929
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• 2015

The smart substation is the heart of a transmission system, which is particularly emphasized as the most significant composition of smart grids in China. In order to assess the functionality performance of substation technologies, this paper presents methods used to identify the most promising solutions for smart substation design and to evaluate the technical levels of available technologies. The multi-index optimization model is presented to address the issue of smart substation planning. A mathematical model of the planning decision problem is established with multiple objectives consisting of economic, reliability, and green key indices, and many kinds of concerns including physical and environmentally friendly operations are formulated as a set of constraints. With respect to the assessment of the technical level regarding integration of advanced technologies into a substation, a modified grey whitenization weight function is adopted to structure a novel grey clustering method. The proposed grey clustering approach is used to overcome the difficulty of insufficient quantitative assessment capacity for traditional methods. The evaluation of technical effects provides the classification definition for the development phase and the maturity level of the smart substation. The effectiveness of the proposed approaches in planning decision-making and evaluation of construction efforts is demonstrated with case studies involving the actual smart substation projects of Wenchongkou substation in China Southern Power Grid (CSG) and Mengzi substation in State Grid Corporation of China (SGCC).

• 한국항공우주학회지
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• 제44권11호
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• pp.973-980
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• 2016

항공교통의 수요 증가에 따른 혼잡한 교통상황과 부족한 공항 운항 능력을 해결하고자 항공교통관제(ATM : Air Traffic Management)의 다양한 분야에서 연구가 진행 되고있다. 본 논문에서는 공항 관제 영역에서 공항으로 접근하는 항공기 교통 스케줄링에 대해 연구를 진행하였다. 본 연구의 ATM 문제에서는 안전을 위한 운용 제한 조건인 항공기간의 분리 구간과 추월을 고려하여 접근하였으며, 특정 공항의 문제가 아닌 일반적인 공항의 항공경로와 경로 결합지점을 정의하여 접근하였다. 또한, 항공교통관제 문제를 스케줄링문제로 정의하여 dispatching 휴리스틱기법들을 통해 해결하고자 하였으며, 기존 기법들을 보완한 새로운 기법을 제안하였다. 스케줄링기법 효율성을 분석하고자 항공교통 시뮬레이션 환경을 모사하였으며, 항공 교통 흐름을 정적인 상황과 동적인 상황으로 정의하여 각 스케줄링 기법들에 대해 Monte Carlo Simulation을 수행하였다.

• Structural Engineering and Mechanics
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• 제62권5호
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• pp.619-629
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• 2017

This paper focuses on the study of complete dynamic modeling and maximum dynamic load carrying capacity computation of N-flexible links and N-flexible joints mobile manipulator undergoing large deformation. Nonlinear dynamic analysis relies on the Timoshenko theory of beams. In order to model the system completely and precisely, structural and joint flexibility, nonlinear strain-displacement relationship, payload, and non-holonomic constraints will be considered to. A finite element solution method based on mixed method is applied to model the shear deformation. This procedure is considerably more involved than displacement based element and shear deformation can be readily included without inducing the shear locking in the element. Another goal of this paper is to present a computational procedure for determination of the maximum dynamic load of geometrically nonlinear manipulators with structural and joint flexibility. An effective measure named as Moment-Height Stability (MHS) measure is applied to consider the dynamic stability of a wheeled mobile manipulator. Simulations are performed for mobile base manipulator with two flexible links and joints. The results represent that dynamic stability constraint is sensitive when calculating the maximum carrying load. Furthermore, by changing the trajectory of end effector, allowable load also changes. The effect of torsional spring parameter on the joint deformation is investigated in a parametric sensitivity study. The findings show that, by the increase of torsional stiffness, the behavior of system approaches to a system with rigid joints and allowable load of robot is also enhanced. A comparison is also made between the results obtained from small and large deformation models. Fluctuation range in obtained figures for angular displacement of links and end effector path is bigger for large deformation model. Experimental results are also provided to validate the theoretical model and these have good agreement with the simulated results.