• Title/Summary/Keyword: neighborhood search algorithm

Search Result 75, Processing Time 0.034 seconds

Local Solution of a Sequential Algorithm Using Orthogonal Arrays in a Discrete Design Space (이산설계공간에서 직교배열표를 이용한 순차적 알고리듬의 국부해)

  • Yi, Jeong-Wook;Park, Gyung-Jin
    • Transactions of the Korean Society of Mechanical Engineers A
    • /
    • v.28 no.9
    • /
    • pp.1399-1407
    • /
    • 2004
  • Structural optimization has been carried out in continuous design space or in discrete design space. Generally, available designs are discrete in design practice. However, the methods for discrete variables are extremely expensive in computational cost. An iterative optimization algorithm is proposed for design in a discrete space, which is called a sequential algorithm using orthogonal arrays (SOA). We demonstrate verifying the fact that a local optimum solution can be obtained from the process with this algorithm. The local optimum solution is defined in a discrete design space. Then the search space, which is a set of candidate values of each design variables formed by the neighborhood of a current design point, is defined. It is verified that a local optimum solution can be found by sequentially moving the search space. The SOA algorithm has been applied to problems such as truss type structures. Then it is confirmed that a local solution can be obtained by using the SOA algorithm

Local Solution of Sequential Algorithm Using Orthogonal Arrays in Discrete Design Space (이산설계공간에서 직교배열표를 이용한 순차적 알고리듬의 국부해)

  • Yi, Jeong-Wook;Park, Gyung-Jin
    • Proceedings of the KSME Conference
    • /
    • 2004.04a
    • /
    • pp.1005-1010
    • /
    • 2004
  • The structural optimization has been carried out in the continuous design space or in the discrete design space. Generally, available designs are discrete in design practice. But methods for discrete variables are extremely expensive in computational cost. In order to overcome this weakness, an iterative optimization algorithm was proposed for design in the discrete space, which is called as a sequential algorithm using orthogonal arrays (SOA). We focus to verify the fact that the local solution can be obtained throughout the optimization with this algorithm. The local solution is defined in discrete design space. Then the search space, which is the set of candidate values of each design variables formed by the neighborhood of current design point, is defined. It is verified that a local solution can be founded by moving sequentially the search space. The SOA algorithm has been applied to problems such as truss type structures. Then it is confirmed that a local solution can be obtained using the SOA algorithm

  • PDF

Design of Distributed Computer Systems Using Tabu Search Method (Tabu 탐색 기법을 이용한 분산 컴퓨팅 시스템 설계)

  • Hong, Jin-Won;Kim, Jae-Yearn
    • Journal of Korean Society of Industrial and Systems Engineering
    • /
    • v.18 no.36
    • /
    • pp.143-152
    • /
    • 1995
  • This paper determines the allocation of computers and data files to minimize the sum of processing and communication costs which occur in processing jobs at each node. The problem of optimally configuring a distributed computer system belongs to the class of NP-Complete problems and the object function of this paper is nonlinear function and is hard to solve. This paper seeks the solution of distributed processing system by Tabu Search. Firstly, it presents the method of generating the starting solution proper to the distributed processing system. Secondly, it develops the method of searching neighborhood solutions. Finally, it determines the Tabu restriction appropriate to the distributed processing system. According to the experimental results, this algorithm solves a sized problems in reasonable time and is effective in the convergence of the solution. The algorithm developed in this paper is also applicable to the general allocation problems of the distributed processing system.

  • PDF

Integer Programming Model and Heuristic on the Guided Scrambling Encoding for Holographic Data Storage (홀로그래픽 저장장치에 대한 GS 인코딩의 정수계획법 모형 및 휴리스틱)

  • Park, Taehyung;Lee, Jaejin
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.38A no.8
    • /
    • pp.656-661
    • /
    • 2013
  • In Guided Scrambling (GS) encoding for the holographic storage, after scrambling augmented source word into codeword, the best codeword satisfying modulation constraint is determined. Modulation constraints considered in this paper are strength which is the minimum number of transition between '0' and '1' in each row and column of codeword array and the symbol balancedness of codeword array. In this paper, we show that GS encoding procedure can be formulated as an integer programming model and develop a fast neighborhood search heuristic for fast computation of control bits. In the simulation, we compared the performance of heuristic algorithm with the integer programming model for various array and control bit size combinations.

Decision Algorithm for Survival New Establishment Stores Location in Monopoly Market (독점시장에서 생존할 수 있는 신규 점포 위치 결정 알고리즘)

  • Lee, Sang-Un
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.18 no.6
    • /
    • pp.213-220
    • /
    • 2018
  • This paper deals with survival facility location problem(SFLP) that the store with less of demand threshold level is closed result from another new establishment of store in the same kind of comparative firms have a monopoly market. We will be faced with a difficult problem when a new establishment stores in market saturation that the closed stores more than opening stores. Serra et al. proposes recursive heuristic concentration algorithm, and Han et al. suggests maximum insurance of customer location. But the drawback of these algorithms is a recursively computation for many locations. This paper get the solution from only neighborhood search of comparative firm's stores that can be maximum customers and closed comparative firm's store, and the location with minimum customer exchange to the location that can be closed the comparative firm's store with maximum customer. The advantage of this algorithm is to get the solution using a MS-Excel.

Tabu Search based Optimization Algorithm for Reporting Cell Planning in Mobile Communication (이동통신에서 리포팅 셀 계획을 위한 타부서치 기반 최적화 알고리즘)

  • Jang, Kil-woong
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.24 no.9
    • /
    • pp.1193-1201
    • /
    • 2020
  • Cell planning, which determines the cell structure for location management of mobile terminals in mobile communications, has been dealt with as an important research task to determine network performance. Among the factors influencing the cell structure planning in mobile communication, the signal cost for location management plays the most important role. In this paper, we propose an optimization algorithm that minimizes the location management cost of all the cells used to plan the cell structure in the network with reporting cell structure in mobile communication. The proposed algorithm uses a Tabu search algorithm, which is a meta-heuristic algorithm, and the proposed algorithm proposes a new neighborhood generation method to obtain a result close to the optimal solution. In order to evaluate the performance of the proposed algorithm, the simulation was performed in terms of location management cost and algorithm execution time. The evaluation results show that the proposed algorithm outperforms the existing genetic algorithm and simulated annealing.

A Proposal of Genetic Algorithms with Function Division Schemes

  • Tsutsui, Shigeyoshi
    • Proceedings of the Korean Institute of Intelligent Systems Conference
    • /
    • 1998.06a
    • /
    • pp.652-658
    • /
    • 1998
  • We introduce the concept of a bi-population scheme for real-coded GAs consisting of an explorer sub-Ga and an exploiter sub-GA. The explorer sub-GA mainly performs global exploration of the search space, and incorporates a restart mechanism to help avoid being trapped at local optima. The exploiter sub-GA performs exploitation of fit local areas of the search space around the neighborhood of the best-so-far solution. Thus the search function of the algorithm is divided. the proposed technique exhibits performance significantly superior to standard GAs on two complex highly multimodal problems.

  • PDF

Built-in self test for testing neighborhood pattern sensitive faults in content addressable memories (Content addressable memory의 이웃패턴감응고장 테스트를 위한 내장된 자체 테스트 기법)

  • 강용석;이종철;강성호
    • Journal of the Korean Institute of Telematics and Electronics C
    • /
    • v.35C no.8
    • /
    • pp.1-9
    • /
    • 1998
  • A new parallel test algorithm and a built-in self test (BIST) architecture are developed to test various types of functional faults efficiently in content addressable memories (CAMs). In test mode, the read oepratin is replaced by one parallel content addressable search operation and the writing operating is performed parallely with small peripheral circuit modificatins. The results whow that an efficient and practical testing with very low complexity and area overhead can be achieved.

  • PDF

A Fast Intra Skip Detection Algorithm for H.264/AVC Video Encoding

  • Kim, Byung-Gyu;Kim, Jong-Ho;Cho, Chang-Sik
    • ETRI Journal
    • /
    • v.28 no.6
    • /
    • pp.721-731
    • /
    • 2006
  • A fast intra skip detection algorithm based on the ratedistortion (RD) cost for an inter frame (P-slices) is proposed for H.264/AVC video encoding. In the H.264/AVC coding standard, a robust rate-distortion optimization technique is used to select the best coding mode and reference frame for each macroblock (MB). There are three types of intra predictions according to profiles. These are $16{\times}16$ and $4{\times}4$ intra predictions for luminance and an $8{\times}8$ intra prediction for chroma. For the high profile, an $8{\times}8$ intra prediction has been added for luminance. The $4{\times}4$ prediction mode has 9 prediction directions with 4 directions for $16{\times}16$ and $8{\times}8$ luma, and $8{\times}8$ chrominance. In addition to the inter mode search procedure, an intra mode search causes a significant increase in the complexity and computational load for an inter frame. To reduce the computational load of the intra mode search at the inter frame, the RD costs of the neighborhood MBs for the current MB are used and we propose an adaptive thresholding scheme for the intra skip extraction. We verified the performance of the proposed scheme through comparative analysis of experimental results using joint model reference software. The overall encoding time was reduced up to 32% for the IPPP sequence type and 35% for the IBBPBBP sequence type.

  • PDF

Development of User-dependent Mid-point Navigation System (사용자 중심의 중간지점 탐색 시스템의 설계 및 구현)

  • Ahn, Jonghee;Kang, Inhyeok;Seo, Seyeong;Kim, Taewoo;Heo, Yusung;Ahn, Yonghak
    • Convergence Security Journal
    • /
    • v.19 no.2
    • /
    • pp.73-81
    • /
    • 2019
  • In this paper, we propose a user-dependent mid-point navigation system using a time weighted mid-point navigation algorithm and a user preference based mid-point neighborhood recommendation system. The proposed system consists of a mid-point navigation module for calculating an mid-point by applying a time weight of each user based on a departure point between users, and a search module for providing a search for a route to the calculated mid-point. In addition, based on the mid-point search result, it is possible to increase the utilization rate of users by including a place recommending function based on user's preference. Experimental results show that the proposed system can increase the efficiency of using by the user-dependent mid-point navigation and place recommendation function.