853 citations
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4 papers · 2 filters
Optimal Parameter Choices via Precise Black-Box Analysis
Benjamin Doerr, Carola Doerr, Jing Yang
It has been observed that some working principles of evolutionary algorithms, in particular, the influence of the parameters, cannot be understood from results on the asymptotic or…
Theory of Parameter Control for Discrete Black-Box Optimization: Provable Performance Gains Through Dynamic Parameter Choices
Benjamin Doerr, Carola Doerr
Parameter control aims at realizing performance gains through a dynamic choice of the parameters which determine the behavior of the underlying optimization algorithm. In the conte…
On the Effectiveness of Simple Success-Based Parameter Selection Mechanisms for Two Classical Discrete Black-Box Optimization Benchmark Problems
Carola Doerr, Markus Wagner
Despite significant empirical and theoretically supported evidence that non-static parameter choices can be strongly beneficial in evolutionary computation, the question how to bes…
Complexity Theory for Discrete Black-Box Optimization Heuristics
Carola Doerr
A predominant topic in the theory of evolutionary algorithms and, more generally, theory of randomized black-box optimization techniques is running time analysis. Running time anal…