Emergence of Strategies for Univariate Estimation-of-Distribution Algorithms with Evolved Neural Networks

Author:

Goudet Olivier12ORCID,Goëffon Adrien12ORCID,Saubion Frédéric12ORCID,Verel Sébastien34ORCID

Affiliation:

1. LERIA, Angers, France

2. University of Angers, Angers, France

3. LISIC, Calais, France

4. Université du Littoral Côte d'Opale, Calais, France

Funder

ANR ? FRANCE

Publisher

ACM

Reference17 articles.

1. Baluja S.: Population-based incremental learning: A method for integrating genetic search based function optimization and competitive learning (1994)

2. General Univariate Estimation-of-Distribution Algorithms

3. Doerr, B., Krejca, M.S.: The univariate marginal distribution algorithm copes well with deception and epistasis. In: Paquete, L., Zarges, C. (eds.) Evolutionary Computation in Combinatorial Optimization - 20th European Conference, EvoCOP 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15--17, 2020, Proceedings. Lecture Notes in Computer Science, vol. 12102, pp. 51--66. Springer (2020)

4. Reinforcement Learning with Non-Markovian Rewards

5. Glover, F., Kochenberger, G., Hennig, R., Du, Y.: Quantum bridge analytics I: a tutorial on formulating and using QUBO models. Annals of Operations Research pp. 1--43 (2022)

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