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Volume 27
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10.3390/mca27040070
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Editorial

Numerical and Evolutionary Optimization 2020

by
Marcela Quiroz
1,
Juan Gabriel Ruiz
2,
Luis Gerardo de la Fraga
3 and
Oliver Schütze
3,*
1
Instituto de Investigaciónes en Inteligencia Artificial, Universidad Veracruzana, Xalapa 91000, Mexico
2
Computer Science Department, Universidad de la Sierra Juarez, Ixtlán de Juárez 68725, Mexico
3
Computer Science Department, Cinvestav-IPN, Mexico City 07360, Mexico
*
Author to whom correspondence should be addressed.
Math. Comput. Appl. 2022, 27(4), 70; https://doi.org/10.3390/mca27040070
Submission received: 15 August 2022 / Accepted: 16 August 2022 / Published: 17 August 2022
(This article belongs to the Special Issue Numerical and Evolutionary Optimization 2020)
Versions Notes

Excerpt

Note: In lieu of an abstract, this is an excerpt from the first page.

Solving scientific and engineering problems from the real world is a very complicated task, currently; hence, the development of powerful search and optimization techniques is of great importance [...]

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MDPI and ACS Style

Quiroz, M.; Ruiz, J.G.; de la Fraga, L.G.; Schütze, O. Numerical and Evolutionary Optimization 2020. Math. Comput. Appl. 2022, 27, 70. https://doi.org/10.3390/mca27040070

AMA Style

Quiroz M, Ruiz JG, de la Fraga LG, Schütze O. Numerical and Evolutionary Optimization 2020. Mathematical and Computational Applications. 2022; 27(4):70. https://doi.org/10.3390/mca27040070

Chicago/Turabian Style

Quiroz, Marcela, Juan Gabriel Ruiz, Luis Gerardo de la Fraga, and Oliver Schütze. 2022. "Numerical and Evolutionary Optimization 2020" Mathematical and Computational Applications 27, no. 4: 70. https://doi.org/10.3390/mca27040070

APA Style

Quiroz, M., Ruiz, J. G., de la Fraga, L. G., & Schütze, O. (2022). Numerical and Evolutionary Optimization 2020. Mathematical and Computational Applications, 27(4), 70. https://doi.org/10.3390/mca27040070

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