research
∙
06/18/2023
MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts
Extending a recent suggestion to generate new instances for numerical bl...
share
research
∙
04/25/2023
When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems
The domain of an optimization problem is seen as one of its most importa...
research
∙
03/08/2023
Towards Self-adaptive Mutation in Evolutionary Multi-Objective Algorithms
Parameter control has succeeded in accelerating the convergence process ...
research
∙
03/08/2023
Using Affine Combinations of BBOB Problems for Performance Assessment
Benchmarking plays a major role in the development and analysis of optim...
research
∙
02/02/2023
Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler
Submodular functions play a key role in the area of optimization as they...
research
∙
03/17/2022
Non-Elitist Selection among Survivor Configurations can Improve the Performance of Irace
Modern optimization strategies such as evolutionary algorithms, ant colo...
research
∙
11/07/2021
IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics
We present IOHexperimenter, the experimentation module of the IOHprofile...
research
∙
06/11/2021
Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance
Finding the best configuration of algorithms' hyperparameters for a give...
research
∙
02/12/2021
Leveraging Benchmarking Data for Informed One-Shot Dynamic Algorithm Selection
A key challenge in the application of evolutionary algorithms in practic...
research
∙
07/08/2020
IOHanalyzer: Performance Analysis for Iterative Optimization Heuristic
We propose IOHanalyzer, a new software for analyzing the empirical perfo...
research
∙
06/10/2020
Benchmarking a (μ+λ) Genetic Algorithm with Configurable Crossover Probability
We investigate a family of (μ+λ) Genetic Algorithms (GAs) which creates ...
research
∙
12/19/2019
Benchmarking Discrete Optimization Heuristics with IOHprofiler
Automated benchmarking environments aim to support researchers in unders...
research
∙
01/17/2019
Interpolating Local and Global Search by Controlling the Variance of Standard Bit Mutation
A key property underlying the success of evolutionary algorithms (EAs) i...
research
∙
10/11/2018
IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics
IOHprofiler is a new tool for analyzing and comparing iterative optimiza...
research
∙
08/17/2018