• 제목/요약/키워드: Branch and Bound algorithm

검색결과 194건 처리시간 0.025초

컴플리트 링키지 알고리즘을 이용한 교육시설물 BTL사업 유지관리번들 구성방안에 관한 연구 (A Study on Maintenance Bundle Alternatives of BTL Project for Educational Facilities Using Complete Linkage Algorithm)

  • 조창연;손재호
    • 교육시설
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    • 제15권3호
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    • pp.4-16
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    • 2008
  • BTL(Build-Transfer-Lease) Project for Education Facilities is contracted as a package which consists of several education facilities and its maintenance period is 20 years. Thus, total cost variation largely depends on the accuracy of the maintenance cost forecasting in the early stage in the life cycle of the BTL Projects. This research develops a method using complete linkage algorithm and branch & bound algorithm to help in finding optimal bundling combination. The result of this research suggests more reasonable and effective forecasting method for the maintenance bundle in BTL projects.

A branch and bound algorithm for solving a capacitated subtree of a tree problem in local access telecommunication network

  • Cho, Geon
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회 1995년도 추계학술대회발표논문집; 서울대학교, 서울; 30 Sep. 1995
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    • pp.202-210
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    • 1995
  • Given a tree T with a root node 0 having the capacity H and a profit $c_{v}$ and a demand $d_{v}$ on each node v of T, the capacitated subtree of a tree problem(CSTP) is to find a subtree of T containing the root that has the maximum total profit, the sum of profits over the subtree, and also satisfies the constraint of which the sum of demands over the subtree must be less than or equal to H. We first define the so-called critical item for CSTP and find an upper bound on the linear programming relaxation of CSTP. We then present our branch and bound algorithm for solving CSTP and finally report the computational results on a set of randomly generated test problems.s.s.

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부품외주를 고려한 조립형 Flowshop 일정계획 해법 개선 (An Improvement of Algorithms for Assembly-type Flowshop Scheduling Problem with Outsourcing)

  • 윤상흠;전재호
    • 산업경영시스템학회지
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    • 제31권2호
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    • pp.80-93
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    • 2008
  • This paper improves algorithms for an assembly-type flowshop scheduling problem in which each job is to assemble two types of components and makespan is the objective measure. For the assembly, one type of the components is outsourced with job-dependent lead time but the other type is fabricated in-house. When both components for a job are prepared, the assembly operation for the job can be started. This problem had been proved to be NP-Complete, so branch-and-bound (B&B) and heuristic algorithms have already been developed. In this paper, we suggest other dominance rules, lowerbound and heutistic algorithms. Also, we develop a new B&B algorithm using these improved bound and dominance rules. The suggested heuristics and B&B algorithm are compared with existing algorithms on randomly-generated test problems.

유방향 네트워크에서 계층수송망 설계 문제에 대한 분지한계법 (A Branch and Bound Algorithm for the Hierarchical Transportation Network Design Problem in Directed Networks)

  • Shim, Hyun-Taik;Park, Son-Dal
    • 한국경영과학회지
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    • 제16권2호
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    • pp.86-102
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    • 1991
  • The purpose of this paper is to present a branch and bound algorithm for the hierarchical transportation network design problem in 2-level directed networks. This problem is to find the least cost of hierarchical transportation networks which consist of a primary path and a secondary path. The primary path is a simple path from a prespecified orgin node to a prespecified terminal node. All nodes must be either a transsipment node on the primary path or connected to that path via secondary arcs. This problem is formulated to a 0-1 inter programming problem with assignment and illegal subtour elimination equations as constaints. We show that the subproblem relaxing subtour elimination constraints is transformed to a linear programming problem by means of the totally unimodularity. Optimal solutions of this subproblem are polynoially obtained by the assignment algorithm and complementary slackness conditions. Therefore, the optimal value of this subproblme is used as a lower bound. When an optimal solution of the subproblem has an illegal subtour, a better disjoint rule is adopted as the branching strategy for reducing the number of branched problems. The computational comparison between the least bound rule and the depth first rule for the search strategy is given.

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A Study on Transmission System Expansion Planning using Fuzzy Branch and Bound Method

  • Park, Jaeseok;Sungrok Kang;Kim, Hongsik;Seungpil Moon;Lee, Soonyoung;Roy Billinton
    • KIEE International Transactions on Power Engineering
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    • 제2A권3호
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    • pp.121-128
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    • 2002
  • This study proposes a new method for transmission system expansion planning using fuzzy integer programming. It presents stepwise cost characteristics analysis which is a practical condition of an actual system. A branch and bound method which includes the network flow method and the maximum flow - minimum cut set theorem has been used in order to carry out the stepwise cost characteristics analysis. Uncertainties of the permissibility of the construction cost and the lenient reserve rate and load forecasting of expansion planning have been included and also processed using the fuzzy set theory in this study. In order to carry out the latter analysis, the solving procedure is illustrated in detail by the branch and bound method which includes the network flow method and maximum flow-minimum cut set theorem. Finally, case studies on the 21- bus test system show that the algorithm proposed is efficiently applicable to the practical expansion planning of transmission systems in the future.

검출 복잡도를 감소 시키는 Depth-first branch and bound 알고리즘 기반 디코더 (Depth-first branch-and-bound-based decoder with low complexity)

  • 이은주;;윤기완
    • 한국정보통신학회논문지
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    • 제13권12호
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    • pp.2525-2532
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    • 2009
  • 본 논문에서는 uncoded V-BLAST(Vertical Bell Laboratories Layered Space Time) 시스템에서 PSK 신호들을 joint-detection하기 위한 fast sphere decoder를 제안한다. 이른바 PSD라 불리는 제안된 디코더는 예비처리단계와 검색단계로 구성된다. PSD의 검색단계에서는 depth-first branch and bound 알고리즘을 통해 검출 후보가 되는 신호원들의 최상우선순위(best-first order)를 정하고 이 순위에 따라 신호를 검출하게 된다. 이 때 제안된 디코더는 최상우선순위(best-first order)를 정하는데 있어 계산복잡성을 줄이는 새로운 방법을 제안한다. 시뮬레이션 결과는 PSD에 의해 시스템의 복잡성은 줄이면서 시스템 성능은 ML과 동일하게 유지할 수 있음을 보여준다.

Dominant failure modes identification and structural system reliability analysis for a long-span arch bridge

  • Gao, Xin;Li, Shunlong
    • Structural Engineering and Mechanics
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    • 제63권6호
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    • pp.799-808
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    • 2017
  • Failure of a redundant long-span bridge is often described by innumerable failure modes, which make the structural system reliability analysis become a computationally intractable work. In this paper, an innovative procedure is proposed to efficiently identify the dominant failure modes and quantify the structural reliability for a long-span bridge system. The procedure is programmed by ANSYS and MATLAB. Considering the correlation between failure paths, a new branch and bound operation criteria is applied to the traditional stage critical strength branch and bound algorithm. Computational effort can be saved by ignoring the redundant failure paths as early as possible. The reliability of dominant failure mode is computed by FORM, since the limit state function of failure mode can be expressed by the final stage critical strength. PNET method and FORM for system are suggested to be the suitable calculation method for the bridge system reliability. By applying the procedure to a CFST arch bridge, the proposed method is demonstrated suitable to the system reliability analysis for long-span bridge structure.

U라인 라인밸런싱을 위한 분지한계법 (A Branch-and-Bound Algorithm for U-line Line Balancing)

  • 김여근;김재윤;김동묵;송원섭
    • 한국경영과학회지
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    • 제23권2호
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    • pp.83-101
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    • 1998
  • Assembly U-lines are increasingly accepted in industry, especially just-in-time production systems, for the efficient utilization of workforce. In this paper, we present an integer programming formulation and a branch-and-bound method for balancing the U-line with the objective of minimizing the number of workstations with a fixed cycle time. In the mathematical model, we provide the method that can reduce the number of variables and constraints. The proposed branch-and-bound method searches the optimal solution based on a depth-first-search. To efficiently search for the optimal solutions to the problems, an assignment rule is used in the method. Bounding strategies and dominance rules are also utilized. Some problems require a large amount of computation time to find the optimal solutions. For this reason. some heuristic fathoming rules are also proposed. Extensive experiments with test-bed problems in the literature are carried out to show the performance of the proposed method. The computational results show that our method is promising in solution quality.

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데이터베이스 설계에서 SOFM 을 이용한 화일 수직분할 방법 (A Vertical File Partitioning Method Using SOFM in Database Design)

  • 신광호;김재련
    • 대한산업공학회지
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    • 제24권4호
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    • pp.661-671
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    • 1998
  • It is important to minimize the number of disk accesses which is necessary to transfer data in disk into main memory when processing transactions in physical database design. A vertical file partitioning method is used to reduce the number of disk accesses by partitioning relations vertically and accessing only necessay fragments. In this paper, SOFM(Self-Organizing Feature Maps) network is used to solve vertical partitioning problems. This paper shows that SOFM network is efficient in solving vertical partitioning problem by comparing approximate solution of SOFM network with optimal solution of N-ary branch and bound method. And this paper presents a heuristic algorithm for allocating duplicate attributes to vertically partitioned fragments. As branch and bound method requires particularly much computing time to solve large-sized problems, it is shown that SOFM network is able to overcome this limitation of branch and bound method and solve large-sized problems efficiently in a short time.

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분기 한정적인 동적 타임 워핑 기반의 시계열 패턴인식 (Time Series Pattern Recognition based on Branch and Bound Dynamic Time Warping)

  • 장석우;박영재;김계영
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제37권7호
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    • pp.584-589
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    • 2010
  • 시계열 패턴 인식에 일반적으로 많이 사용되는 동적인 타임 워핑 알고리즘은 대부분의 연산시간을 상관표를 작성하는데 소비한다. 그리고 이 연산시간을 줄이고자 전역 경로 제약조건을 설정하여 연산범위에 제한을 두는데, 이것은 패턴의 내용을 고려하지 않은 시간축에 의한 제한이다. 따라서 본 논문에서는 패턴의 형태에 따라 적응적으로 전역 경로 제약조건을 설정하여 보다 효율적으로 패턴인식을 수행하는 분기 한정적인 동적 타임 워핑 알고리즘을 제안한다. 제안된 방법의 성능 평가를 위한 실험에서는 분기 한정적인 동적 타임 워핑 알고리즘이 기존의 동적 타임 워핑 방법과 경로 거리는 유사하면서 연산 시간이 보다 개선되었음을 확인할 수 있었다.