Study on a Robust Optimization Model for Project Scheduling Policies

Yu Zhang; Teng Fei Yin

doi:10.4028/www.scientific.net/AMM.110-116.2866

Paper Titles

FEM Modeling of Beams Cyclic Loading Based on Ziegler-Prager and Armstrong-Frederick Kinematic Hardening Models
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Effects of Cut-Off Ratio on Performance of an Endoreversible Dual Cycle
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Modeling and Calculation of the Algorithm Structure of Compound Semiconductor-Type A³B⁵
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Research on Self-Similarity Network Traffic Modeling
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Study on a Robust Optimization Model for Project Scheduling Policies
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More Reliable Lifetime Distribution of System: A New Statistical Heuristic Model with Numeric Case Study
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The Effects of Fuel Injection Angle and Injection Velocity on Propulsive Droplets Sizing in a Duct
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Modeling Abrasion Resistant Materials by Modeling Large Sliding Frictional Contact
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Instantaneous and Time-Averaged Flow Structure around Two Heated Square Cylinders in the Laminar Flow Regime
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 110-116Study on a Robust Optimization Model for Project...

Study on a Robust Optimization Model for Project Scheduling Policies

Abstract:

The genetic algorithm discussed in this paper for project scheduling solution to this problem can be obtained the near optimal schedule programs. This has established the objective function and constraints that have a certain scope; it requires the duration of each process that is determined in advance for enterprises. If the project is more familiar with the history with more experience, and more complete database, the project environment can be controlled well. It can accurately determine the time with the construction plan, construction process and the optimization method with the good trial.

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Periodical:

Applied Mechanics and Materials (Volumes 110-116)

Pages:

2866-2871

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.110-116.2866

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Online since:

October 2011

Authors:

Yu Zhang, Teng Fei Yin

Keywords:

Genetic Algorithm (GA), Project Schedule, Tactics

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