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CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators
The topic of provable deep neural network robustness has raised consider...
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LEAP nets for power grid perturbations
We propose a novel neural network embedding approach to model power tran...
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Automated Machine Learning with Monte-Carlo Tree Search (Extended Version)
The AutoML task consists of selecting the proper algorithm in a machine ...
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Multi-Domain Adversarial Learning
Multi-domain learning (MDL) aims at obtaining a model with minimal avera...
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On the Behaviour of Differential Evolution for Problems with Dynamic Linear Constraints
Evolutionary algorithms have been widely applied for solving dynamic con...
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Optimization of computational budget for power system risk assessment
We address the problem of maintaining high voltage power transmission ne...
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Anticipating contingengies in power grids using fast neural net screening
We address the problem of maintaining high voltage power transmission ne...
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The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities
Biological evolution provides a creative fount of complex and subtle ada...
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Fast Power system security analysis with Guided Dropout
We propose a new method to efficiently compute load-flows (the steady-st...
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Introducing machine learning for power system operation support
We address the problem of assisting human dispatchers in operating power...
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Stochastic Gradient Descent: Going As Fast As Possible But Not Faster
When applied to training deep neural networks, stochastic gradient desce...
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Anomaly Detection with the Voronoi Diagram Evolutionary Algorithm
This paper presents the Voronoi diagram-based evolutionary algorithm (Vo...
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Racing Multi-Objective Selection Probabilities
In the context of Noisy Multi-Objective Optimization, dealing with uncer...
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Maximum Likelihood-based Online Adaptation of Hyper-parameters in CMA-ES
The Covariance Matrix Adaptation Evolution Strategy (CMA-ES) is widely a...
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Computational Methods for Probabilistic Inference of Sector Congestion in Air Traffic Management
This article addresses the issue of computing the expected cost function...
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Multiobjective Tactical Planning under Uncertainty for Air Traffic Flow and Capacity Management
We investigate a method to deal with congestion of sectors and delays in...
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Strategic Planning in Air Traffic Control as a Multi-objective Stochastic Optimization Problem
With the objective of handling the airspace sector congestion subject to...
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KL-based Control of the Learning Schedule for Surrogate Black-Box Optimization
This paper investigates the control of an ML component within the Covari...
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Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning
Parameter tuning is recognized today as a crucial ingredient when tackli...
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Multi-Objective AI Planning: Comparing Aggregation and Pareto Approaches
Most real-world Planning problems are multi-objective, trying to minimiz...
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Sustainable Cooperative Coevolution with a Multi-Armed Bandit
This paper proposes a self-adaptation mechanism to manage the resources ...
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Multi-Objective AI Planning: Evaluating DAE-YAHSP on a Tunable Benchmark
All standard AI planners to-date can only handle a single objective, and...
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Online Learning for Ground Trajectory Prediction
This paper presents a model based on an hybrid system to numerically sim...
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Increasing Air Traffic: What is the Problem?
Nowadays, huge efforts are made to modernize the air traffic management ...
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Alternative Restart Strategies for CMA-ES
This paper focuses on the restart strategy of CMA-ES on multi-modal func...
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Black-box optimization benchmarking of IPOP-saACM-ES and BIPOP-saACM-ES on the BBOB-2012 noiseless testbed
In this paper, we study the performance of IPOP-saACM-ES and BIPOP-saACM...
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Black-box optimization benchmarking of IPOP-saACM-ES on the BBOB-2012 noisy testbed
In this paper, we study the performance of IPOP-saACM-ES, recently propo...
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Self-Adaptive Surrogate-Assisted Covariance Matrix Adaptation Evolution Strategy
This paper presents a novel mechanism to adapt surrogate-assisted popula...
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Evolving Genes to Balance a Pole
We discuss how to use a Genetic Regulatory Network as an evolutionary re...
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On the Benefits of Inoculation, an Example in Train Scheduling
The local reconstruction of a railway schedule following a small perturb...
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