85 citations · 897 across the 89 of their papers we have counts for
10 papers · 1 filter
One-Shot Decision-Making with and without Surrogates
Jakob Bossek, Pascal Kerschke, Aneta Neumann +2
One-shot decision making is required in situations in which we can evaluate a fixed number of solution candidates but do not have any possibility for further, adaptive sampling. Su…
Benchmarking Discrete Optimization Heuristics with IOHprofiler
Carola Doerr, Furong Ye, Naama Horesh +3
Automated benchmarking environments aim to support researchers in understanding how different algorithms perform on different types of optimization problems. Such comparisons provi…
Optimization of Chance-Constrained Submodular Functions
Benjamin Doerr, Carola Doerr, Aneta Neumann +2
Submodular optimization plays a key role in many real-world problems. In many real-world scenarios, it is also necessary to handle uncertainty, and potentially disruptive events th…
Offspring Population Size Matters when Comparing Evolutionary Algorithms with Self-Adjusting Mutation Rates
Anna Rodionova, Kirill Antonov, Arina Buzdalova +1
We analyze the performance of the 2-rate Evolutionary Algorithm (EA) with self-adjusting mutation rate control, its 3-rate counterpart, and a ~EA variant using multi…
Online Selection of CMA-ES Variants
Diederick Vermetten, Sander van Rijn, Thomas Bäck +1
In the field of evolutionary computation, one of the most challenging topics is algorithm selection. Knowing which heuristics to use for which optimization problem is key to obtain…
Hyper-Parameter Tuning for the (1+(λ,λ)) GA
Nguyen Dang, Carola Doerr
It is known that the ~Genetic Algorithm (GA) with self-adjusting parameter choices achieves a linear expected optimization time on OneMax if its hyper-parameters are sui…