We investigate the effect of restricting the mutation operator in evolutionary algorithms with respect to the runtime behavior. For the Eulerian cycle problem; we present runtime bounds on evolutionary algorithms with a restricted operator that are much smaller than the best upper bounds for the general case. It turns out that a plateau that both algorithms have to cope with is left faster by the new algorithm. In addition, we present a lower bound for the unrestricted algorithm which shows that the restricted operator speeds up computation by at least a linear factor
Explaining to what extent the real power of genetic algorithms lies in the ability of crossover to r...
The paper is devoted to upper bounds on the expected first hitting times of the sets of local or glo...
Recent progress in the runtime analysis of evolutionary algorithms (EAs) has allowed the derivation ...
We investigate the effect of restricting the mutation operator in evolutionary algorithms with respe...
Also published as a journal article: Lecture Notes in Computer Science, 2006; 4193:978-987We investi...
Successful applications of evolutionary algorithms show that certain variation operators can lead to...
Successful applications of evolutionary algorithms show that certain variation operators can lead to...
Evolutionary algorithms are randomized search heuristics, which are applied to problems whose struct...
Abstract — Evolutionary algorithms are randomized search heuristics, which are applied to problems w...
Although there are many evolutionary algorithms (EAs) for solving constrained optimization problems,...
International audienceA decent number of lower bounds for non-elitist population-based evolutionary ...
The investigations of linear pseudo-Boolean functions play a central role in the area of runtime ana...
AbstractEvolutionary algorithms (EAs) find numerous applications, and practical knowledge on EAs is ...
We present a new representation for individuals in problems that have cyclic permutations as solutio...
The computational time complexity is an important topic in the theory of evolutionary algorithms (EA...
Explaining to what extent the real power of genetic algorithms lies in the ability of crossover to r...
The paper is devoted to upper bounds on the expected first hitting times of the sets of local or glo...
Recent progress in the runtime analysis of evolutionary algorithms (EAs) has allowed the derivation ...
We investigate the effect of restricting the mutation operator in evolutionary algorithms with respe...
Also published as a journal article: Lecture Notes in Computer Science, 2006; 4193:978-987We investi...
Successful applications of evolutionary algorithms show that certain variation operators can lead to...
Successful applications of evolutionary algorithms show that certain variation operators can lead to...
Evolutionary algorithms are randomized search heuristics, which are applied to problems whose struct...
Abstract — Evolutionary algorithms are randomized search heuristics, which are applied to problems w...
Although there are many evolutionary algorithms (EAs) for solving constrained optimization problems,...
International audienceA decent number of lower bounds for non-elitist population-based evolutionary ...
The investigations of linear pseudo-Boolean functions play a central role in the area of runtime ana...
AbstractEvolutionary algorithms (EAs) find numerous applications, and practical knowledge on EAs is ...
We present a new representation for individuals in problems that have cyclic permutations as solutio...
The computational time complexity is an important topic in the theory of evolutionary algorithms (EA...
Explaining to what extent the real power of genetic algorithms lies in the ability of crossover to r...
The paper is devoted to upper bounds on the expected first hitting times of the sets of local or glo...
Recent progress in the runtime analysis of evolutionary algorithms (EAs) has allowed the derivation ...