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04/28/2023
MultiZenoTravel: a Tunable Benchmark for Multi-Objective Planning with Known Pareto Front
Multi-objective AI planning suffers from a lack of benchmarks exhibiting...
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05/07/2022
Automated Algorithm Selection for Radar Network Configuration
The configuration of radar networks is a complex problem that is often p...
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09/28/2021
Extensible Logging and Empirical Attainment Function for IOHexperimenter
In order to allow for large-scale, landscape-aware, per-instance algorit...
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05/02/2021
Paradiseo: From a Modular Framework for Evolutionary Computation to the Automated Design of Metaheuristics —22 Years of Paradiseo—
The success of metaheuristic optimization methods has led to the develop...
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02/12/2021
Towards Large Scale Automated Algorithm Design by Integrating Modular Benchmarking Frameworks
We present a first proof-of-concept use-case that demonstrates the effic...
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02/01/2021
Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions
Facilitated by the recent advances of Machine Learning (ML), the automat...
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06/19/2020
Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy
Exploratory landscape analysis (ELA) supports supervised learning approa...
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05/10/2013
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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05/06/2013
Multi-Objective AI Planning: Comparing Aggregation and Pareto Approaches
Most real-world Planning problems are multi-objective, trying to minimiz...
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12/20/2012