Improved runtime results for simple randomised search heuristics on linear functions with a uniform constraint

Author:

Neumann Frank1,Pourhassan Mojgan1,Witt Carsten2

Affiliation:

1. University of Adelaide, Adelaide, SA, Australia

2. Technical University of Denmark, Kgs. Lyngby, Denmark

Funder

Australian Research Council

Publisher

ACM

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Do additional target points speed up evolutionary algorithms?;Theoretical Computer Science;2023-03

2. A Survey on Recent Progress in the Theory of Evolutionary Algorithms for Discrete Optimization;ACM Transactions on Evolutionary Learning and Optimization;2021-12-31

3. Do additional optima speed up evolutionary algorithms?;Proceedings of the 16th ACM/SIGEVO Conference on Foundations of Genetic Algorithms;2021-09-06

4. Stagnation detection in highly multimodal fitness landscapes;Proceedings of the Genetic and Evolutionary Computation Conference;2021-06-26

5. Running time analysis of the (1+1)-EA for robust linear optimization;Theoretical Computer Science;2020-12

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