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    Stochastic Time–Cost Optimization Model Incorporating Fuzzy Sets Theory and Nonreplaceable Front 

    Source: Journal of Construction Engineering and Management:;2005:;Volume ( 131 ):;issue: 002
    Author(s): Daisy X. M. Zheng; S. Thomas Ng
    Publisher: American Society of Civil Engineers
    Abstract: In a real construction project, the duration and cost of each activity could change dynamically as a result of many uncertain variables, such as weather, resource availability, productivity, etc. Managers/planners must ...
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    Applying a Genetic Algorithm-Based Multiobjective Approach for Time-Cost Optimization 

    Source: Journal of Construction Engineering and Management:;2004:;Volume ( 130 ):;issue: 002
    Author(s): Daisy X. M. Zheng; S. Thomas Ng; Mohan M. Kumaraswamy
    Publisher: American Society of Civil Engineers
    Abstract: Reducing both project cost and time (duration) is critical in a competitive environment. However, a trade-off between project time and cost is required. This in turn requires contracting organizations to carefully evaluate ...
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    Applying Pareto Ranking and Niche Formation to Genetic Algorithm-Based Multiobjective Time–Cost Optimization 

    Source: Journal of Construction Engineering and Management:;2005:;Volume ( 131 ):;issue: 001
    Author(s): Daisy X. M. Zheng; S. Thomas Ng; Mohan M. Kumaraswamy
    Publisher: American Society of Civil Engineers
    Abstract: Time–cost optimization (TCO) is one of the greatest challenges in construction project planning and control, since the optimization of either time or cost, would usually be at the expense of the other. Although the TCO ...
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