Bivariate estimation-of-distribution algorithms can find an exponential number of optima-Reference-Cited by-同舟云学术

Bivariate estimation-of-distribution algorithms can find an exponential number of optima

Published:2020-06-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 Genetic and Evolutionary Computation Conference
language:
Short-container-title:

Author:

Doerr Benjamin¹,Krejca Martin S.²

Affiliation:

1. Institut Polytechnique de Paris, Palaiseau, France

2. Hasso Plattner Institute, Potsdam, Germany

Funder

European Cooperation in Science and Technology

Investissement d'avenir project in a joint call with Gaspard Monge Program for optimization, operations research and their interactions with data sciences

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3377930.3390177

Reference21 articles.

1. Evolutionary computation and multimodal search: A good combination to tackle molecular diversity in the field of peptide design

2. Multivariate multi-model approach for globally multimodal problems

Cited by 8 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. Bivariate estimation-of-distribution algorithms can find an exponential number of optima;Theoretical Computer Science;2023-09

2. A Gentle Introduction to Theory (for Non-Theoreticians);Proceedings of the Companion Conference on Genetic and Evolutionary Computation;2023-07-15

3. A gentle introduction to theory (for non-theoreticians);Proceedings of the Genetic and Evolutionary Computation Conference Companion;2022-07-09

4. General Univariate Estimation-of-Distribution Algorithms;Lecture Notes in Computer Science;2022

5. A gentle introduction to theory (for non-theoreticians);Proceedings of the Genetic and Evolutionary Computation Conference Companion;2021-07-07