• Title/Summary/Keyword: 최적 경로 탐색

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Development of Optimal Maze Path Game Using Java (Java를 이용한 최적 미로 게임 개발)

  • Jeong, Gab-Joong;Lee, Yeong-Joon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.1
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    • pp.671-674
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    • 2005
  • This paper describes the development of an optimal maze path game as web-based game contents. Client suer using web can access and run java applet program with download of java byte code with the independence of hardware system. The optimal maze path game developed in this paper consists of random maze path generation module, selected path input module, weighted optimal path search module, and path comparison module, selected path input module, weighted optimal path search module, and path comparison module. It enhances the cognition faculty of game users with the comparison of the maze path searched by optimal path search algorithm and the selected maze path by game users.

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Development of A Turn Label Based Optimal Path Search Algorithm (Turn Label 기반 최적경로탐색 알고리즘 개발)

  • Meeyoung Lee
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.23 no.2
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    • pp.1-14
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    • 2024
  • The most optimal route-search algorithm thus far has introduced a method of applying node labels and link labels. Node labels consider two nodes simultaneously in the optimal route-search process, while link labels consider two links simultaneously. This study proposes a turn-label-based optimal route-search technique that considers two turns simultaneously in the process. Turn-label-based optimal route search guarantees the optimal solution of dynamic programming based on Bellman's principle as it considers a two-turn search process. Turn-label-based optimal route search can accommodate the advantages of applying link labels because the concept of approaching the limit of link labels is applied equally. Therefore, it is possible to reflect rational cyclic traffic where nodes allow multiple visits without expanding the network, while links do not allow visits. In particular, it reflects the additional cost structure that appears in two consecutive turns, making it possible to express the structure of the travel-cost function more flexibly. A case study was conducted on the metropolitan urban railway network consisting of transportation card terminal readers, aiming to examine the scalability of the research by introducing parameters that reflect psychological resistance in travel with continuous pedestrian transfers into turn label optimal path search. Simulation results showed that it is possible to avoid conservative transfers even if the travel time and distance increase as the psychological resistance value for continuous turns increases, confirming the need to reflect the cost structure of turn labels. Nevertheless, further research is needed to secure diversity in the travel-cost functions of road and public-transportation networks.

Balance between Intensification and Diversification in Ant Colony Optimization (개미 집단 최적화에서 강화와 다양화의 조화)

  • Lee, Seung-Gwan;Choi, Jin-Hyuk
    • The Journal of the Korea Contents Association
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    • v.11 no.3
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    • pp.100-107
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    • 2011
  • One of the important fields for heuristic algorithm is how to balance between Intensification and Diversification. In this paper, we deal with the performance improvement techniques through balance the intensification and diversification in Ant Colony System(ACS) which is one of Ant Colony Optimization(ACO). In this paper, we propose the hybrid searching method between intensification strategy and diversification strategy. First, the length of the global optimal path does not improved within the limited iterations, we evaluates this state that fall into the local optimum and selects the next node using changed parameters in the state transition rule. And then we consider the overlapping edge of the global best path of the previous and the current, and, to enhance the pheromone for the overlapping edges increases the probability that the optimal path is configured. Finally, the performance of Best and Average-Best of proposed algorithm outperforms ACS-3-opt, ACS-Subpath, ACS-Iter and ACS-Global-Ovelap algorithms.

An Algorithm for Searching Pareto Optimal Paths of HAZMAT Transportation: Efficient Vector Labeling Approach (위험물 수송 최적경로 탐색 알고리즘 개발: Efficient Vector Labeling 방법으로)

  • Park, Dong-Joo;Chung, Sung-Bong;Oh, Jeong-Taek
    • Journal of the Korean Society of Hazard Mitigation
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    • v.11 no.3
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    • pp.49-56
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    • 2011
  • This paper deals with a methodology for searching optimal route of hazard material (hazmat) vehicles. When we make a decision of hazmat optimal paths, there is a conflict between the public aspect which wants to minimize risk and the private aspect which has a goal of minimizing travel time. This paper presents Efficient Vector Labeling algorithm as a methodology for searching optimal path of hazmat transportation, which is intrinsically one of the multi-criteria decision making problems. The output of the presented algorithm is a set of Pareto optimal paths considering both risk and travel time at a time. Also, the proposed algorithm is able to identify non-dominated paths which are significantly different from each other in terms of links used. The proposed Efficient Vector Labeling algorithm are applied to test bed network and compared with the existing k-shortest path algorithm. Analysis of result shows that the proposed algorithm is more efficient and advantageous in searching reasonable alternative routes than the existing one.

Search Algorithm for Efficient Optimal Path based on Time-weighted (시간 가중치 기반 효율적인 최적 경로 탐색 기법 연구)

  • Her, Yu-sung;Kim, Tae-woo;Ahn, Yonghak
    • Journal of the Korea Convergence Society
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    • v.11 no.2
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    • pp.1-8
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    • 2020
  • In this paper, we propose an optimal path search algorithm between each node and midpoint that applies the time weighting. Services for using a location of mid point usually provide a mid point location-based on the location of users. There is a problem that is not efficient in terms of time because a location-based search method is only considered for location. To solve the problem of the existing location-based search method, the proposed algorithm sets the weights between each node and midpoint by reflecting user's location information and required time. Then, by utilizing that, it is possible to search for an optimum path. In addition, to increase the efficiency of the search, it ensures high accuracy by setting weights adaptively to the information given. Experimental results show that the proposed algorithm is able to find the optimal path to the midpoint compared with the existing method.

A Heuristic Optimal Path Search Considering Cumulative Transfer Functions (누적환승함수를 고려한 경험적 최적경로탐색 방안)

  • Shin, Seongil;Baek, Nam Cheol;Nam, Doo Hee
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.15 no.3
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    • pp.60-67
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    • 2016
  • In cumulative transfer functions, as number of transfer increase, the impact of individual transfer to transfer cost increase linearly or non linearly. This function can effectively explain various passengers's travel behavior who choose their travel routes in integrated transit line networks including bus and railway modes. Using the function, it is possible to simulate general situations such that even though more travel times are expected, less number of transfer routes are preferred. However, because travel cost with cumulative transfer function is known as non additive cost function types in route search algorithms, finding an optimal route in integrated transit networks is confronted by the insolvable enumeration of all routes in many cases. This research proposes a methodology for finding an optimal path considering cumulative transfer function. For this purpose, the reversal phenomenon of optimal path generated in route search process is explained. Also a heuristic methodology for selecting an optimal route among multiple routes predefined by the K path algorithm. The incoming link based entire path deletion method is adopted for finding K ranking path thanks to the merit of security of route optimality condition. Through case studies the proposed methodology is discussed in terms of the applicability of real situations.

Analysis of Real-time, Shortest-Path Finding Algorithms for Unknown Environments (미지의 공간상의 실시간 최단 경로 탐색 알고리즘에 대한 분석)

  • Choi, Eun-Mi;Kim, In-Cheol
    • Proceedings of the Korea Information Processing Society Conference
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    • 2005.05a
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    • pp.419-422
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    • 2005
  • 본 논문은 미지의 공간 그래프에 대한 실시간 최단 경로 탐색 알고리즘인 $RTA{\ast}$ 알고리즘과 $PHA{\ast}$ 알고리즘을 소개하고, 예제 그래프를 통해 이들의 특성을 설명한다. 또 3차원 온라인 게임 환경인 언리얼 토너먼트(Unreal Tournament) 게임과 Gamebots 시스템을 이용하여 두 알고리즘 간의 탐색 최적성과 효율성을 비교하였다. 이 실험을 통하여 $PHA{\ast}$ 알고리즘은 언제나 최선의 경로를 탐색하지만 이동경로가 많고, 시간이 많이 걸릴 수 있으며, $RTA{\ast}$는 최적의 경로 혹은 차선 경로를 빠른 시간 내에 탐색함을 확인 하였다. 따라서 이러한 특성을 바탕으로 주어진 탐색 환경의 조건에 따라 두 알고리즘을 선택적으로 적용함으로써 보다 높은 효과를 얻을 수 것으로 기대한다.

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A Study about Finding Optimal Path Using HAS Dynamic Programming (RAS Dynamic Programming을 이용한 최적 경로 탐색에 관한 연구)

  • Kim, Jeong-Tae;Cho, Hyun-Chul;Lee, Kwon-Soon
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2007.12a
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    • pp.226-227
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    • 2007
  • Significant increase of container flows in marine terminals requires more efficient automatic port systems. This paper presents a novel routing and collision avoidance algorithm of linear motor based shuttle cars using random access sequence dynamic programming (RAS DP). The proposed RAS DP is accomplished online for determining optimal paths for each shuttle car.

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A Node-disjoint Path Selection Algorithm in Mobile Ad Hoc Networks (모바일 애드혹 네트워크에서의 노드디스조인트 경로 탐색 알고리즘)

  • Lee, Dong-Ho;Song, Byung-Hun;Chung, Kwang-Sue
    • Proceedings of the Korean Information Science Society Conference
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    • 2010.06d
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    • pp.278-282
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    • 2010
  • 모바일 애드혹 네트워크에서의 멀티패스 라우팅 프로토콜은 기존의 단일패스 라우팅 프로토콜에 비하여 대역폭을 효율적으로 사용할 수 있고 혼잡을 완화시킬 수 있으며, 데이터 전달의 신뢰성을 제공할 수 있다. 하지만 멀티패스 라우팅 프로토콜에서의 경로 탐색 과정은 오버헤드가 크고 계산의 복잡도 또한 높다. 본 논문에서는 무선 애드혹 네트워크에서의 멀티패스 라우팅을 위한 효율적인 노드디스조인트 경로 탐색 알고리즘을 제안한다. 제안하는 알고리즘은 지연된 RREP(Route Reply) 패킷을 사용하여 최적의 노드 디스조인트 경로를 탐색하고 그중 간섭 및 충돌의 영향이 적은 경로 집합을 선택한다. 이를 통해 빠르게 트래픽을 분산시킬 수 있고 충돌로 인한 오류의 발생을 낮추어 신뢰성을 높일 수 있다. 실험을 통하여 제안하는 경로 탐색 알고리즘이 최적의 멀티패스를 선택함을 확인하였다.

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A Link-Based Label Correcting Multi-Objective Shortest Paths Algorithm in Multi-Modal Transit Networks (복합대중교통망의 링크표지갱신 다목적 경로탐색)

  • Lee, Mee-Young;Kim, Hyung-Chul;Park, Dong-Joo;Shin, Seong-Il
    • Journal of Korean Society of Transportation
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    • v.26 no.1
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    • pp.127-135
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    • 2008
  • Generally, optimum shortest path algorithms adopt single attribute objective among several attributes such as travel time, travel cost, travel fare and travel distance. On the other hand, multi-objective shortest path algorithms find the shortest paths in consideration with multi-objectives. Up to recently, the most of all researches about multi-objective shortest paths are proceeded only in single transportation mode networks. Although, there are some papers about multi-objective shortest paths with multi-modal transportation networks, they did not consider transfer problems in the optimal solution level. In particular, dynamic programming method was not dealt in multi-objective shortest path problems in multi-modal transportation networks. In this study, we propose a multi-objective shortest path algorithm including dynamic programming in order to find optimal solution in multi-modal transportation networks. That algorithm is based on two-objective node-based label correcting algorithm proposed by Skriver and Andersen in 2000 and transfer can be reflected without network expansion in this paper. In addition, we use non-dominated paths and tree sets as labels in order to improve effectiveness of searching non-dominated paths. We also classifies path finding attributes into transfer and link travel attribute in limited transit networks. Lastly, the calculation process of proposed algorithm is checked by computer programming in a small-scaled multi-modal transportation network.