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    Efficacy of Using Support Vector Machine in a Contractor Prequalification Decision Model 

    Source: Journal of Computing in Civil Engineering:;2010:;Volume ( 024 ):;issue: 003
    Author(s): Ka-Chi Lam; Mike Chun-Kit Lam; Dan Wang
    Publisher: American Society of Civil Engineers
    Abstract: Contractor prequalification is basically a nonlinear two-group classification problem. A robust contractor prequalification decision model should include the ability of handling both quantitative and qualitative data. ...
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    Conjoining MMAS to GA to Solve Construction Site Layout Planning Problem 

    Source: Journal of Construction Engineering and Management:;2009:;Volume ( 135 ):;issue: 010
    Author(s): Ka-Chi Lam; Xin Ning; Mike Chun-Kit Lam
    Publisher: American Society of Civil Engineers
    Abstract: An optimal construction site layout planning (CSLP) is vital for project management. It can reduce the transportation flows and thus the costs of a project. Genetic algorithm (GA) is the most used algorithm to solve site ...
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