First Steps Towards a Runtime Analysis When Starting with a Good Solution

Author:

Antipov Denis,Buzdalov Maxim,Doerr Benjamin

Publisher

Springer International Publishing

Reference34 articles.

1. Antipov, D., Buzdalov, M., Doerr, B.: Fast mutation in crossover-based algorithms. In: Genetic and Evolutionary Computation Conference, GECCO 2020, pp. 1268–1276. ACM (2020)

2. Antipov, D., Buzdalov, M., Doerr, B.: First steps towards a runtime analysis when starting with a good solution. CoRR abs/2006.12161 (2020)

3. Antipov, D., Doerr, B., Fang, J., Hetet, T.: Runtime analysis for the $${(\mu +\lambda )}$$ EA optimizing OneMax. In: Genetic and Evolutionary Computation Conference, GECCO 2018, pp. 1459–1466. ACM (2018)

4. Auger, A., Doerr, B. (eds.): Theory of Randomized Search Heuristics. World Scientific Publishing, Singapore (2011)

5. Buzdalov, M., Doerr, B.: Runtime analysis of the $${(1+(\lambda ,\lambda ))}$$ genetic algorithm on random satisfiable 3-CNF formulas. In: Genetic and Evolutionary Computation Conference, GECCO 2017, pp. 1343–1350. ACM (2017). http://arxiv.org/abs/1704.04366

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