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    Two- and Three-Dimensional Path Optimization for Production Machinery

    Source: Journal of Manufacturing Science and Engineering:;2000:;volume( 122 ):;issue: 001::page 244
    Author:
    W. A. Khan
    ,
    D. R. Hayhurst
    DOI: 10.1115/1.538901
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Path optimization is desirable in many problem instances occurring in discrete manufacturing and pick and place technology. The problem may refer to applications ranging from two-dimensional movements such as in milling processes to three-dimensional movements required in many robotic operations. The optimal path can be found using tour construction techniques, sub tour elimination techniques and tour to tour improvement techniques. The limits to which these solution methodologies can be applied are restricted to a certain number of nodes. The optimal path for two- and three-dimensional TSP is determined using a stochastic search procedure based on a tour improvement technique. An optimal solution is presented for 500 node TSP in two dimensions. A procedure for finding optimal path for an even larger number of nodes is outlined. The optimal path in three dimensions is also presented using nodes distributed along the periphery of three-dimensional primitives. [S1087-1357(00)71601-7]
    keyword(s): Dimensions , Manufacturing , Algorithms , Optimization , Machinery , Simulated annealing , Motion , Robotics , Probability AND Travel ,
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      Two- and Three-Dimensional Path Optimization for Production Machinery

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    contributor authorW. A. Khan
    contributor authorD. R. Hayhurst
    date accessioned2017-05-09T00:02:58Z
    date available2017-05-09T00:02:58Z
    date copyrightFebruary, 2000
    date issued2000
    identifier issn1087-1357
    identifier otherJMSEFK-27355#244_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/124031
    description abstractPath optimization is desirable in many problem instances occurring in discrete manufacturing and pick and place technology. The problem may refer to applications ranging from two-dimensional movements such as in milling processes to three-dimensional movements required in many robotic operations. The optimal path can be found using tour construction techniques, sub tour elimination techniques and tour to tour improvement techniques. The limits to which these solution methodologies can be applied are restricted to a certain number of nodes. The optimal path for two- and three-dimensional TSP is determined using a stochastic search procedure based on a tour improvement technique. An optimal solution is presented for 500 node TSP in two dimensions. A procedure for finding optimal path for an even larger number of nodes is outlined. The optimal path in three dimensions is also presented using nodes distributed along the periphery of three-dimensional primitives. [S1087-1357(00)71601-7]
    publisherThe American Society of Mechanical Engineers (ASME)
    titleTwo- and Three-Dimensional Path Optimization for Production Machinery
    typeJournal Paper
    journal volume122
    journal issue1
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.538901
    journal fristpage244
    journal lastpage252
    identifier eissn1528-8935
    keywordsDimensions
    keywordsManufacturing
    keywordsAlgorithms
    keywordsOptimization
    keywordsMachinery
    keywordsSimulated annealing
    keywordsMotion
    keywordsRobotics
    keywordsProbability AND Travel
    treeJournal of Manufacturing Science and Engineering:;2000:;volume( 122 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian