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Research on the Hierarchical Discrete Time-Cost Trade-Off Problem for Program
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This article is published in Journal of the Construction Division and Management.The article was published on 2022-07-01. It has received 1 citations till now. The article focuses on the topics: Computer science.read more
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A contingency approach for time-cost trade-off in construction projects based on machine learning techniques
TL;DR: In this paper , a preliminary list of critical factors was identified from the literature and verified by a Delphi survey, and a questionnaire survey was conducted to shortlist the preliminary factors and quantify the predictive model with different machine learning algorithms, i.e. k-nearest neighbours (kNN), radial basis function (RBF), multiplayer perceptron (MLP), multinomial logistic regression (MLR), naïve Bayes classifier (NBC), and Bayesian belief networks (BBNs).
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Critical-Path Planning and Scheduling: Mathematical Basis
TL;DR: The essential ingredient of the technique is a mathematical model that incorporates sequence information, durations, and costs for each component of the project that is a special parametric linear program that may be solved efficiently by network flow methods.
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Target Cascading in Optimal System Design
TL;DR: In the present article target cascading is formalized by a process modeled as a multilevel optimal design problem that links all subproblem decisions so that the overall system performance targets are met.
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Complexity of Scheduling under Precedence Constraints
TL;DR: The use of precedence constraints between jobs that have to be respected in every feasible schedule is illustrated by extending some typical NP-completeness results and simplifying their correctness proofs for scheduling problems involving precedence constraints.
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From Projectification to Programmification
TL;DR: In this paper, the authors consider two key themes from the Rethinking Project Management Network activities: projectification and managing multiple projects, and discuss the development of the concept of projectification over the past decade.
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A genetic algorithm for the resource constrained multi-project scheduling problem
TL;DR: This paper presents a genetic algorithm for the resource constrained multi-project scheduling problem based on random keys that builds parameterized active schedules based on priorities, delay times, and release dates defined by the genetic algorithm.