Mario Vanhoucke

University College London

United Kingdom

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Professors in United Kingdom

Articles (29)

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Collaborators (2)

José Coelho

Visiting Professor

Ghent University

BELGIUM

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Sönke Hartmann

Professor

Business School

GERMANY

View details

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Mario Vanhoucke

Research Interests

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Articles (29)

Fifty years of research on resource-constrained project scheduling explored from different perspectives

Project monitoring and control with an empirically grounded budget-release model

A buffer allocation evolutionary algorithm for resource-constrained projects with activity clusters

Duration forecasting in resource constrained projects: A hybrid risk model combining complexity indicators with sensitivity measures

A dynamic learning-based genetic algorithm for scheduling resource-constrained projects with alternative subgraphs

IRAF-BRB: An explainable AI framework for enhanced interpretability in project risk assessment

Comparison of two problem transformation-based methods in detecting the best performing branch-and-bound procedures for the RCPSP

Schedule risk analysis for project control with risk interactions

A solution framework for multi-skilled project scheduling problems with hierarchical skills

A Multi-Module Explainable Artificial Intelligence Framework for Project Risk Management: Enhancing Transparency in Decision-making

A matheuristic for the resource-constrained project scheduling problem

A genetic algorithm for the Resource-Constrained Project Scheduling Problem with Alternative Subgraphs using a boolean satisfiability solver

Analysis of the impact of corrective actions for stochastic project networks

A hybrid forecasting model to predict the duration and cost performance of projects with Bayesian Networks

An empirical project forecasting accuracy framework using project regularity

Risk response budget allocation based on fault tree analysis and optimization

A genetic algorithm with resource buffers for the resource-constrained multi-project scheduling problem

Reducing the feasible solution space of resource-constrained project instances

An exact decomposition technique for the deadline-constrained discrete time/cost trade-off problem with discounted cash flows

A comparison of activity ranking methods for taking corrective actions during project control

On the complexity of efficient multi-skilled team composition

Automated design of priority rules for resource-constrained project scheduling problem using surrogate-assisted genetic programming

Constructive heuristics for selecting and scheduling alternative subgraphs in resource-constrained projects

Correction to: on the summary measures for the resource-constrained project scheduling problem

On the summary measures for the resource-constrained project scheduling problem

Multi-project scheduling: A benchmark analysis of metaheuristic algorithms on various optimisation criteria and due dates

A classification and new benchmark instances for the multi-skilled resource-constrained project scheduling problem

New resource-constrained project scheduling instances for testing (meta-)heuristic scheduling algorithms

A prediction model for ranking branch-and-bound procedures for the resource-constrained project scheduling problem

Collaborators (2)

José Coelho

Sönke Hartmann

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