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    Exact Algorithm for Solving Project Scheduling Problems under Multiple Resource Constraints

    Source: Journal of Construction Engineering and Management:;2005:;Volume ( 131 ):;issue: 009
    Author:
    Genmou Jiang
    ,
    Jonathan Shi
    DOI: 10.1061/(ASCE)0733-9364(2005)131:9(986)
    Publisher: American Society of Civil Engineers
    Abstract: This paper presents a new algorithm, called the enumerative branch-and-cut procedure (EBAC), for minimizing the total project duration of a construction project under multiple resource constraints based on an enumeration tree. The EBAC generates new branches to the tree corresponding to “better” feasible alternatives. It starts with all of the feasible schedule alternatives as the trial schedule alternatives at any node. The trial schedule alternatives are then evaluated to determine whether they are “worse” than any existing partial schedules in the tree by using the presented cut rules, and a worse alternative will be eliminated from the enumeration tree. In other words, the tree will contain only better feasible schedules. The presented algorithm has been coded in the
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      Exact Algorithm for Solving Project Scheduling Problems under Multiple Resource Constraints

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    http://yetl.yabesh.ir/yetl1/handle/yetl/24621
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    contributor authorGenmou Jiang
    contributor authorJonathan Shi
    date accessioned2017-05-08T20:43:08Z
    date available2017-05-08T20:43:08Z
    date copyrightSeptember 2005
    date issued2005
    identifier other%28asce%290733-9364%282005%29131%3A9%28986%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/24621
    description abstractThis paper presents a new algorithm, called the enumerative branch-and-cut procedure (EBAC), for minimizing the total project duration of a construction project under multiple resource constraints based on an enumeration tree. The EBAC generates new branches to the tree corresponding to “better” feasible alternatives. It starts with all of the feasible schedule alternatives as the trial schedule alternatives at any node. The trial schedule alternatives are then evaluated to determine whether they are “worse” than any existing partial schedules in the tree by using the presented cut rules, and a worse alternative will be eliminated from the enumeration tree. In other words, the tree will contain only better feasible schedules. The presented algorithm has been coded in the
    publisherAmerican Society of Civil Engineers
    titleExact Algorithm for Solving Project Scheduling Problems under Multiple Resource Constraints
    typeJournal Paper
    journal volume131
    journal issue9
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)0733-9364(2005)131:9(986)
    treeJournal of Construction Engineering and Management:;2005:;Volume ( 131 ):;issue: 009
    contenttypeFulltext
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