Plus Strategies are Exponentially Slower for Planted Optima of Random Height
Not on the map. Why?
Abstract (arXiv)
We compare the (1,λ)-EA and the (1 + λ)-EA on the recently introduced benchmark DisOM, which is the OneMax function with randomly planted local optima. Previous work showed that if all local optima have the same relative height, then the plus strategy never loses more than a factor O(nlog n) compared to the comma strategy. Here we show that even small random fluctuations in the heights of the local optima have a devastating effect for the plus strategy and lead to super-polynomial runtimes. On the other hand, due to their ability to escape local optima, comma strategies are unaffected by the height of the local optima and remain efficient. Our results hold for a broad class of possible distortions and show that the plus strategy, but not the comma strategy, is generally deceived by sparse unstructured fluctuations of a smooth landscape.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 11 of its 31 references that are in the map. First posted on arXiv 15 Apr 2024.
Builds on
11 of 31 references.
References · 11
- 2017Fast Genetic Algorithmscited by 29
- 2020Does Comma Selection Help To Cope With Local Optimacited by 15
- 2023Comma Selection Outperforms Plus Selection on OneMax with Randomly Planted Optimacited by 5
- 2021Self-Adjusting Population Sizes for Non-Elitist Evolutionary Algorithms: Why Success Rates Mattercited by 4
- 2016Drift Analysis and Evolutionary Algorithms Revisitedcited by 3
- 2022Self-adjusting Population Sizes for the (1, λ)-EA on Monotone Functionscited by 3
- 2019The Efficiency Threshold for the Offspring Population Size of the (μ, λ) EAcited by 2
- 2022Theoretical Study of Optimizing Rugged Landscapes with the cGAcited by 2
- 2023Tight Runtime Bounds for Static Unary Unbiased Evolutionary Algorithms on Linear Functionscited by 2
- 2022OneMax is not the Easiest Function for Fitness Improvementscited by 1
- 2023Hardest Monotone Functions for Evolutionary Algorithmscited by 1
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Citing papers per year: 2024: 1.
1 paper.