CUMDANCauchy-C1-Reference-Cited by-同舟云学术

CUMDANCauchy-C1

Published:2019-07-13 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference Companion
language:
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Author:

Martínez-López Yoan¹,Rodríguez-González Ansel Y.²,Quintana Julio Madera³,Moya Alexis⁴,Morgado Bismay³,Mayedo Miguel Betancourt³

Affiliation:

1. Universidad del Camagüey, Camagüey, Camagüey, Cuba and Universidad Central de Las Villas, Santa Clara, Villa Clara, Cuba

2. CICESE-UT3, Tepic, Nayarit, México and CONACYT, Ciudad de México, México

3. Universidad del Camagüey, Camagüey, Camagüey, Cuba

4. Camagüey University, Camagüey, Camagüey, Cuba

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3319619.3326743

Reference10 articles.

1. Theory and Practice of Cellular UMDA for Discrete Optimization

2. Zita Vale Jose Rueda Fernando Lezama Joao Soares. 2017. Guidelines for the CECâĂŹ2018 competition on Evolutionary Computation in Uncertain Environments: A Smart Grid Application. http://www.gecad.isep.ipp.pt/WCCI2018-SG-COMPETITION/files/WCCI2018_Guidelines_CISG.pdf. Zita Vale Jose Rueda Fernando Lezama Joao Soares. 2017. Guidelines for the CECâĂŹ2018 competition on Evolutionary Computation in Uncertain Environments: A Smart Grid Application. http://www.gecad.isep.ipp.pt/WCCI2018-SG-COMPETITION/files/WCCI2018_Guidelines_CISG.pdf.

3. Zita Vale Jose Rueda Fernando Lezama Joao Soares. 2018. Guidelines for the CEC & GECCO 2019 competition on Evolutionary Computation in Uncertain Environments: A Smart Grid Application http://www.gecad.isep.ipp.pt/ERM2019-Competition/files/CEC_GECCO_2019_Guidelines_CISG.pdf. Zita Vale Jose Rueda Fernando Lezama Joao Soares. 2018. Guidelines for the CEC & GECCO 2019 competition on Evolutionary Computation in Uncertain Environments: A Smart Grid Application http://www.gecad.isep.ipp.pt/ERM2019-Competition/files/CEC_GECCO_2019_Guidelines_CISG.pdf.

4. P Larranaga R Etxeberria JA Lozano JM Pena JM Pe etal 1999. Optimization by learning and simulation of Bayesian and Gaussian networks. (1999). P Larranaga R Etxeberria JA Lozano JM Pena JM Pe et al. 1999. Optimization by learning and simulation of Bayesian and Gaussian networks. (1999).

5. Differential evolution strategies for large-scale energy resource management in smart grids

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