• Title/Summary/Keyword: Two-dimensional problem

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개수 제한이 없는 2차원 절단문제를 위한 향상된 최적해법 (An Improved Exact Algorithm for the Unconstrained Two-Dimensional Cutting Problem)

  • 지영근;강맹규
    • 대한산업공학회지
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    • 제27권4호
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    • pp.424-431
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    • 2001
  • This paper is concerned with the unconstrained two-dimensional cutting problem of cutting small rectangles (products), each of which has its own profit and size, from a large rectangle (material) to maximize the profit-sum of products. Since this problem is used as a sub-problem to generate a cutting pattern in the algorithms for the two-dimensional cutting stock problem, most of researches for the two-dimensional cutting stock problem have been concentrated on solving this sub-problem more efficiently. This paper improves Hifi and Zissimopoulos's recursive algorithm, which is known as the most efficient exact algorithm, by applying newly proposed upper bound and searching strategy. The experimental results show that the proposed algorithm has been improved significantly in the computational amount of time as compared with the Hifi and Zissimopulos's algorithm.

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Choosing Optimal Design Points in Two Dimensional Space using Voronoi Tessellation

  • Park, Dong-Ryeon
    • Communications for Statistical Applications and Methods
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    • 제4권1호
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    • pp.129-138
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    • 1997
  • In this paper, the problem for choosing design points in the two dimensional case is condidered. In the one dimensional case, given the design density function, we can choose design points using the quantile function. However, in the two dimensional case, there is no clear definition of the percentile. Therefore, the idea of choosing design points in the univariate case can not be applied directly to the two dimensional case. We convert this problem into an optimization problem using the Voronoi diagram.

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확장된 일반상한제약을 갖는 이차원 선형계획 배낭문제 연구 (On a Two Dimensional Linear Programming Knapsack Problem with the Extended GUB Constrain)

  • 원중연
    • 대한산업공학회지
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    • 제27권1호
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    • pp.25-29
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    • 2001
  • We present a two dimensional linear programming knapsack problem with the extended GUB constraint. The presented problem is an extension of the cardinality constrained linear programming knapsack problem. We identify some new properties of the problem and derive a solution algorithm based on the parametric analysis for the knapsack right-hand-side. The solution algorithm has a worst case time complexity of order O($n^2logn$). A numerical example is given.

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2차원 공간에서의 휴리스틱 배치 알고리즘 및 구현에 관한 연구 (A Study and Implementation of the Heuristic Autonesting Algorithm in the 2 Dimension Space)

  • 양성모;임성국;고석호;김현정;한관희
    • 한국CDE학회논문집
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    • 제4권3호
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    • pp.259-268
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    • 1999
  • In order to reduce the cost of product and save the processing time, optimal nesting of two-dimensional part is an important application in number of industries like shipbuilding and garment making. There have been many studies on finding the optimal solution of two-dimensional nesting. The problem of two-dimensional nesting has a non-deterministic characteristic and there have been various attempts to solve the problem by reducing the size of problem rather than solving the problem as a whole. Heuristic method and linearlization are often used to find an optimal solution of the problem. In this paper, theoretical and practical nesting algorithm for rectangular, circular and irregular shape of two-dimensional parts is proposed. Both No-Fit-Polygon and Minkowski-Sum are used for solving the overlapping problem of two parts and the dynamic programming technique is used for reducing the number search spae in order to find an optimal solution. Also, nesting designer's expertise is complied into the proposed algorithm to supplement the heuristic method.

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BOUNDARY VALUE PROBLEM FOR ONE-DIMENSIONAL ELLIPTIC JUMPING PROBLEM WITH CROSSING n-EIGENVALUES

  • JUNG, TACKSUN;CHOI, Q-HEUNG
    • East Asian mathematical journal
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    • 제35권1호
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    • pp.41-50
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    • 2019
  • This paper is dealt with one-dimensional elliptic jumping problem with nonlinearities crossing n eigenvalues. We get one theorem which shows multiplicity results for solutions of one-dimensional elliptic boundary value problem with jumping nonlinearities. This theorem is that there exist at least two solutions when nonlinearities crossing odd eigenvalues, at least three solutions when nonlinearities crossing even eigenvalues, exactly one solutions and no solution depending on the source term. We obtain these results by the eigenvalues and the corresponding normalized eigenfunctions of the elliptic eigenvalue problem and Leray-Schauder degree theory.

임의의 1 차원 신호의 최소 위상 신호화와 2차원 위상복원문제에의 응용 (Enforcing minimum-phase conditions on an arbitrry one-dimensional signal and its application ot two-dimensional phase retrieval problem)

  • 김우식
    • 전자공학회논문지S
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    • 제34S권1호
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    • pp.105-114
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    • 1997
  • The phase retrieval problem is concerned with the reconstruction of a signal or its fourier transform phase form the fourier transform magnitude of the signal. This problem does not have a unique solution, in general. If, however, the desired signal is minimum-phase, then it can be decided uniquely. This paper shows that we can make a minimum-phase signal by adding a delta function having a large value at the origin of an arbitrary one-dimensional signal, and a two-dimensional signal can be uniquely specified from its fourier transform magnitude if it is added by a delta function having a large value at the origin, and finally we can solve a two-dimensional phase retrieval problem by decomposing it into several ine-dimensional phase retrieval problems.

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회전을 고려한 판재 배치 문제의 유전 알고리즘 적용 (Application of the Genetic Algorithm to the Layout Problem of the Pane Considering Rotation)

  • 이금탁;김훈모
    • 제어로봇시스템학회논문지
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    • 제6권5호
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    • pp.376-382
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    • 2000
  • A problem of relevant interest to some industries is that of the optimum two-dimensional layout. In this problem, one is given a number of rectangular sheets and an order for a specified number of each of certain types of two-dimensional regular and irregular shapes. The aim is to cut the shapes out of the sheets in such a way as to minimize the amount of waste produced. In this paper, we propose a genetic algorithms using rotation parameters by which the best pattern of layout is found.

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강구조물 응접접합부의 2차원 및 3차원 균열에 대한 J-적분 해석 (Analysis of the J-integral for Two-dimensional and Three-dimensional Crack Configurations in Welds of Steel Structure)

  • 이진형;장경호
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 2004년도 가을 학술발표회 논문집
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    • pp.270-277
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    • 2004
  • In this paper, path-independent values of the J-integral in the fininte element context for arbitrary two-dimensional and three-dimensional crack configurations in welds are presented. For the fracture mechanics analysis of cracks in welds, residual stress analysis and fracture analysis must be performed simultaneously. In the analysis of cracked bodies containing residual stress, the usual domain integral formulation results in path-dependent values of the J-integral. This paper discusses modifications of the conventional J-integral that yield path independence in the presence of residual stress generated by welding. The residual stress problem is treated as an initial strain problem and the J-integral modified for this class of problem is used. And a finite element program which can evaluate the J-integral for cracks in two-dimensional and three-dimensional residual stress bearing bodies is developed using the modified J-integral definition. The situation when residual stress only is present is examed as is the case when mechanical stresses are applied in conjunction with a residual stress field.

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2차원 길로틴 절단문제를 위한 새로운 상한 (A New Upper Bound for Two-Dimensional Guillotine Cutting Problem)

  • 윤기섭;지영근;강맹규
    • 산업경영시스템학회지
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    • 제24권62호
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    • pp.21-32
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    • 2001
  • The two-dimensional guillotine cutting problem is to maximize sum of piece profits that cut from one stock rectangle and widely applied in the industry. The branch-and-bound method for this problem uses complementarily several upper bounds(the Gilmore and Gomoryp[8]'s two-dimensional knapsack function and the Hifi and Zissimopoulos[10]'s method using one-dimensional knapsack problem, etc) to reduce the number of searched nodes. These upper bounds has a shortcoming that does not consider the bound and layout of pieces simultaneously. In this paper, we propose an efficient upper bound which can complement the shortcoming of existing upper bounds. The proposed upper bound needs less memory spaces and computing time. Computational results show that the proposed upper bound significantly contribute to reduce the computational amount of time and number of searched nodes in tree.

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큰 사이즈 아이템들에 대한 2차원 벡터 패킹문제의 어려움 (Hardness of Approximation for Two-Dimensional Vector Packing Problem with Large Items)

  • 황학진;강장하
    • 대한산업공학회지
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    • 제38권1호
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    • pp.1-6
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    • 2012
  • We consider a two-dimensional vector packing problem in which each item has size in x- and y-coordinates. The purpose of this paper is to provide a ground work on how hard two-dimensional vector packing problems are for large items. We prove that the problem with each item greater than 1/2-${\varepsilon}$ either in x- or y-coordinates for 0 < ${\varepsilon}$ ${\leq}$ 1/6 has no APTAS unless P = NP.