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06/01/2023
A Virtual-Force Based Swarm Algorithm for Balanced Circular Bin Packing Problems
Balanced circular bin packing problems consist in positioning a given nu...
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02/27/2023
An algorithmic framework for the optimization of deep neural networks architectures and hyperparameters
In this paper, we propose an algorithmic framework to automatically gene...
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12/21/2022
Hidden-Variables Genetic Algorithm for Variable-Size Design Space Optimal Layout Problems with Application to Aerospace Vehicles
The optimal layout of a complex system such as aerospace vehicles consis...
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11/20/2020
Recovery-to-Efficiency: A New Robustness Concept for Multi-objective Optimization under Uncertainty
This paper presents a new robustness concept for uncertain multi-objecti...
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06/29/2020
Multi-fidelity modeling with different input domain definitions using Deep Gaussian Processes
Multi-fidelity approaches combine different models built on a scarce but...
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03/06/2020
Bayesian optimization of variable-size design space problems
Within the framework of complex system design, it is often necessary to ...
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08/19/2019
Planar p-center problems are solvable in polynomial time when clustering a Pareto Front
This paper is motivated by real-life applications of bi-objective optimi...
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05/07/2019
Bayesian Optimization using Deep Gaussian Processes
Bayesian Optimization using Gaussian Processes is a popular approach to ...
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12/13/2018
Matheuristics to optimize maintenance scheduling and refueling of nuclear power plants
Scheduling the maintenances of nuclear power plants is a complex optimiz...
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09/11/2018
Efficient Global Optimization using Deep Gaussian Processes
Efficient Global Optimization (EGO) is widely used for the optimization ...
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06/06/2018
Clustering in a 2d Pareto Front: p-median and p-center are solvable in polynomial time
This paper is motivated by a real life application of multi-objective op...
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06/06/2018
