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Found 8 papers, 1 papers with code
MultiZenoTravel: a Tunable Benchmark for Multi-Objective Planning with Known Pareto Front
Multi-objective AI planning suffers from a lack of benchmarks exhibiting known Pareto Fronts.
Democratising Knowledge Representation with BioCypher
Standardising the representation of biomedical knowledge among all researchers is an insurmountable task, hindering the effectiveness of many computational methods.
Automated Algorithm Selection for Radar Network Configuration
The exact modeling of these instances is complex, as the quality of the configurations depends on a large number of parameters, on internal radar processing, and on the terrains on which the radars need to be placed.
Extensible Logging and Empirical Attainment Function for IOHexperimenter
IOHexperimenter provides a large set of synthetic problems, a logging system, and a fast implementation.
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 development of a large variety of algorithm paradigms.
Towards Large Scale Automated Algorithm Design by Integrating Modular Benchmarking Frameworks
We present a first proof-of-concept use-case that demonstrates the efficiency of interfacing the algorithm framework ParadisEO with the automated algorithm configuration tool irace and the experimental platform IOHprofiler.
Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions
We show that the classification accuracy transfers to settings in which several instances are involved in training and testing.
Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy
While, not unexpectedly, increasing the number of sample points gives more robust estimates for the feature values, to our surprise we find that the feature value approximations for different sampling strategies do not converge to the same value.
