• 제목/요약/키워드: Minimal Path Algorithm

검색결과 58건 처리시간 0.024초

웹 사이트 탐색 알고리즘 비교분석 (Comparision and Analysis of Algorithm for web Sites Researching)

  • 김덕수;권영직
    • 한국산업정보학회논문지
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    • 제8권3호
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    • pp.91-98
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    • 2003
  • 무선 PDA.휴대폰을 통해 웹을 탐색하려는 이용자들은 인터페이스 상의 문제 때문에 어려움을 겪는다. 단지 그래픽을 문자로 바꾸거나 기호체계를 재구성한다고 해서 해결될 문제가 아니다. 심층 연계 구조를 통과하는 데에는 많은 시간이 걸리기 때문이다. 이러한 문제들을 해결하기 위해서 본 논문에서는 실시간의 최단경로를 제공하기 위하여 무선 웹 탐색을 자동적으로 개선시키는 Minimal Path 알고리즘을 제안한다. 본 논문의 결과 Minimal Path 알고리즘은 웹 이용자들에 대해 지름길을 제공해 주며, 링크의 숫자가 가장 짧았음을 알 수 있었다.

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Flow Network을 이용한 청소로봇의 최소방향전환 경로계획 (Minimal Turning Path Planning for Cleaning Robots Employing Flow Networks)

  • 남상현;문승빈
    • 제어로봇시스템학회논문지
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    • 제11권9호
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    • pp.789-794
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    • 2005
  • This paper describes an algorithm for minimal turning complete coverage Path planning for cleaning robots. This algorithm divides the whole cleaning area by cellular decomposition, and then provides the path planning among the cells employing a flow network. It also provides specific path planning inside each cell guaranteeing the minimal turning of the robots. The minimal turning of the robots is directly related to the faster motion and energy saving. The proposed algorithm is compared with previous approaches in simulation and the result shows the validity of the algorithm.

플로우 네트워크를 이용한 지능형 로봇의 경로계획 (Path Planning for an Intelligent Robot Using Flow Networks)

  • 김국환;김형;김병수;이순걸
    • 로봇학회논문지
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    • 제6권3호
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    • pp.255-262
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    • 2011
  • Many intelligent robots have to be given environmental information to perform tasks. In this paper an intelligent robot, that is, a cleaning robot used a sensor fusing method of two sensors: LRF and StarGazer, and then was able to obtain the information. Throughout wall following using laser displacement sensor, LRF, the working area is built during the robot turn one cycle around the area. After the process of wall following, a path planning which is able to execute the work effectively is established using flow network algorithm. This paper describes an algorithm for minimal turning complete coverage path planning for intelligent robots. This algorithm divides the whole working area by cellular decomposition, and then provides the path planning among the cells employing flow networks. It also provides specific path planning inside each cell guaranteeing the minimal turning of the robots. The proposed algorithm is applied to two different working areas, and verified that it is an optimal path planning method.

유향 그래프의 최대 경로 길이를 제한하는 최소 노드 집합을 구하는 알고리즘 (Determining Minimal Set of Vertices Limiting The Maximum Path Length in General Directed Graphs)

  • Lee Dong Ho
    • 전자공학회논문지B
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    • 제32B권1호
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    • pp.11-20
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    • 1995
  • A new graph problem is formulated to limit the maximum path length of a general directed graph when a minimal set of vertices together with their incident edges are removed from the graph. An optimal algorithm and a heuristic algorithm are proposed and the proposed heuristic algorithm is shown to be effective through experiments using a collection of graphs obtained from large sequential circuits. The heuristic algorithm is based on a feedback vertex set algorithm based on graph reduction.

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Parallel and Sequential Implementation to Minimize the Time for Data Transmission Using Steiner Trees

  • Anand, V.;Sairam, N.
    • Journal of Information Processing Systems
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    • 제13권1호
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    • pp.104-113
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    • 2017
  • In this paper, we present an approach to transmit data from the source to the destination through a minimal path (least-cost path) in a computer network of n nodes. The motivation behind our approach is to address the problem of finding a minimal path between the source and destination. From the work we have studied, we found that a Steiner tree with bounded Steiner vertices offers a good solution. A novel algorithm to construct a Steiner tree with vertices and bounded Steiner vertices is proposed in this paper. The algorithm finds a path from each source to each destination at a minimum cost and minimum number of Steiner vertices. We propose both the sequential and parallel versions. We also conducted a comparative study of sequential and parallel versions based on time complexity, which proved that parallel implementation is more efficient than sequential.

글로벌 라우팅 유전자 알고리즘의 설계와 구현 (Design and Implementation of a Genetic Algorithm for Global Routing)

  • 송호정;송기용
    • 융합신호처리학회논문지
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    • 제3권2호
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    • pp.89-95
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    • 2002
  • 글로벌 라우팅(global routing)은 VLSI 설계 과정중의 하나로, 네트리스트의 모든 네트들을 연결하기 위하여 각 네트들을 라우팅 영역(routing area)에 할당시키는 문제이며, 글로벌 라우팅에서 최적의 해를 얻기 위해 maze routing 알고리즘, line-probe 알고리즘, shortest path 기반 알고리즘, Steiner tree 기반 알고리즘등이 이용된다. 본 논문에서는 라우팅 그래프에서 최단 경로 Steiner tree 탐색방법인 weighted network heuristic(WNH)과 이를 기반으로 하는 글로벌 라우팅 유전자 알고리즘(genetic algorithm; GA)을 제안하였으며, 제안한 방식을 시뮬레이티드 어닐링(SA) 방식과 비교, 분석하였다.

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최소동적비용 경로탐색 알고리즘 기반 선박경제운항시스템 (An Economic Ship Routing System Based on a Minimal Dynamic-cost Path Search Algorithm)

  • 주상연;조태정;차재문;양진호;권영근
    • 정보처리학회논문지:컴퓨터 및 통신 시스템
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    • 제1권2호
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    • pp.79-86
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    • 2012
  • 선박경제운항이란 기상예측정보를 활용하여 연료소모량을 최소화하도록 선박을 운항하는 것으로서 최근 다양한 선박경제운항 시스템이 연구되고 있다. 성공적인 선박경제운항을 위해서는 효율적인 최적의 지리적 경로탐색 방법이 필요한데 기존의 시스템에서는 주로 Dijkstra 알고리즘 기반의 최소정적비용 경로탐색 알고리즘으로 접근하고 있다. 그러한 접근법을 적용하기 위해서는 특히 연료소모량으로 정의되는 간선의 비용을 고정해야 하는데 선박이 그 간선을 실제 지날 때의 기상 상황에 따라 연료소모량이 변할 수 있다는 점에서 적절하지 않은 가정이다. 이에 본 논문에서는 그러한 단점을 극복하기 위해 Dijkstra 알고리즘을 변형한 최소동적비용 경로탐색 알고리즘을 제안한다. 또한, 실행시간을 단축하기 위해 $A^*$ 알고리즘을 활용하여 탐색공간을 효과적으로 줄이기 위한 방법도 제시한다. 총 10개의 테스트 노선에 대해서 본 논문에서 제안된 시스템을 기존의 단순한 최단거리 운항방법과 비교한 결과, 운항소요시간은 거의 차이가 없으면서도 연료소모량을 평균 2.36%, 최대 4.82% 개선시킬 수 있었다.

Enhanced Algorithms for Reliability Calculation of Complex System

  • Lee, Seong Cheol
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • 제3권2호
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    • pp.121-135
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    • 1999
  • This paper studies the problem of inverting minimal path sets to obtain minimal cut sets for complex system. We describe efficiency of inversion algorithm by the use of boolean algebra and we develop inclusion-exclusion algorithm and pivotal decomposition algorithm for reliability calculation of complex system. Several examples are illustrated and the computation speeds between the two algorithms are undertaken.

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최소 면적의 CMOS 기능셀 설계도면을 찾는 휴리스틱 알고리즘 (A Heuristic Algorithm for Minimal Area CMOS Cell Layout)

  • 권용준;경종민
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1987년도 전기.전자공학 학술대회 논문집(II)
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    • pp.1463-1466
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    • 1987
  • The problem of generating minimal area CMOS functional cell layout can be converted to that of decomposing the transistor connection graph into a minimum number of subgraphs, each having a pair of Euler paths with the same sequence of input labels on the N-graph and P-graph, which are portions of the graph corresponding to NMOS and PMOS parts respectively. This paper proposes a heuristic algorithm which yields a nearly minimal number of Euler paths from the path representation formula which represents the give a logic function. Subpath merging is done through a list processing scheme where the pair of paths which results in the lowest cost is successively merged from all candidate merge pairs until no further path merging and further reduction of number of subgraphs are possible. Two examples were shown where we were able to further reduce the number of interlaces, i.e., the number of non-butting diffusion islands, from 3 to 2, and from 2 to 1, compared to the earlier work [1].

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네트워크 신뢰도를 추정하기 위한 SMCS/SMPS 시뮬레이션 기법 (SMCS/SMPS Simulation Algorithms for Estimating Network Reliability)

  • 서재준
    • 산업경영시스템학회지
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    • 제24권63호
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    • pp.33-43
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    • 2001
  • To estimate the reliability of a large and complex network with a small variance, we propose two dynamic Monte Carlo sampling methods: the sequential minimal cut set (SMCS) and the sequential minimal path set (SMPS) methods. These methods do not require all minimal cut sets or path sets to be given in advance and do not simulate all arcs at each trial, which can decrease the valiance of network reliability. Based on the proposed methods, we develop the importance sampling estimators, the total hazard (or safety) estimator and the hazard (or safety) importance sampling estimator, and compare the performance of these simulation estimators. It is found that these estimators can significantly reduce the variance of the raw simulation estimator and the usual importance sampling estimator. Especially, the SMCS algorithm is very effective in case that the failure probabilities of arcs are low. On the contrary, the SMPS algorithm is effective in case that the success Probabilities of arcs are low.

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