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Zaldívar Navarro, Daniel
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1

Fundamentos de robótica y mecatrónica con Matlab© y Simulin..:

Pérez Cisneros, Marco Antonio ; Cuevas Jiménez, Erik Valdemar ; Zaldívar Navarro, Daniel , 2014
Link: https://search.ebscohost..
 
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2

A biped robot design:

, 2006
Link: http://www.diss.fu-berli..
 
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3

Desarrollo de controladores difusos: Enfocado a microcontro..:

Zaldívar Navarro, Daniel ; Cuevas Jiménez, Erik Valdemar , 2006
Link: https://search.ebscohost..
 
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4

Genetic Operators and Their Impact on the Training of Deep ..:

, In: Metaheuristics in Machine Learning: Theory and Applications; Studies in Computational Intelligence,
Michel, David Eliel Bocanegra ; Navarro, Daniel Zaldivar - p. 97-124 , 2021
Link: https://doi.org/10.1007/..
 
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5

Micro-Grooved Pipe Design of Parabolic Trough by Metaheuris..:

Osuna-Enciso, Valentín ; Pérez-Cisneros, Marco ; Zaldívar-Navarro, Daniel
Energies.  13 (2020)  2 - p. 449 , 2020
Link: https://doi.org/10.3390/..
 
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6

Generación y optimización de controladores difusos utilizan..:

Cuevas Jiménez, Erik V ; Zaldívar Navarro, Daniel ; Pérez Cisneros, Marco.
Computación y Sistemas v.14 n.2 2010.  , 2010
Link: http://www.scielo.org.mx..
 
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7

A Biped Robot Design ; Design eines zweibeinigen Roboters:

Zaldívar Navarro, Daniel
https://refubium.fu-berlin.de/handle/fub188/10674.  , 2006
Link: https://refubium.fu-berl..
 
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8

A Review of the Use of Quasi-random Number Generators to In..:

Navarro, Mario A. ; Oliva, Diego ; Ramos-Michel, Alfonso...
Archives of Computational Methods in Engineering.  29 (2022)  7 - p. 5149-5184 , 2022
Link: https://doi.org/10.1007/..
 
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9

An improved multi-population whale optimization algorithm:

Navarro, Mario A. ; Oliva, Diego ; Ramos-Michel, Alfonso...
International Journal of Machine Learning and Cybernetics.  13 (2022)  9 - p. 2447-2478 , 2022
Link: https://doi.org/10.1007/..
 
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10

Solving Reality-Based Trajectory Optimization Problems with..:

, In: Studies in Computational Intelligence; Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems,
Ramos-Michel, Alfonso ; Navarro, Mario A. ; Morales-Castañeda, Bernardo.. - p. 363-397 , 2022
Link: https://doi.org/10.1007/..
 
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11

Integrating Metaheuristic Algorithms and Minimum Cross Entr..:

, In: Metaheuristics in Machine Learning: Theory and Applications; Studies in Computational Intelligence,
Navarro, Mario A. ; Oliva, Diego ; Zaldívar, Daniel. - p. 545-581 , 2021
Link: https://doi.org/10.1007/..
 
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12

Population management in metaheuristic algorithms: Could le..:

Morales-Castañeda, Bernardo ; Zaldívar, Daniel ; Cuevas, Erik..
Applied Soft Computing.  107 (2021)  - p. 107389 , 2021
Link: https://doi.org/10.1016/..
 
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13

Segmentation of Thermal Images Using Metaheuristic Algorith..:

, In: Applications of Hybrid Metaheuristic Algorithms for Image Processing; Studies in Computational Intelligence,
Navarro, Mario A. ; Hernández, Gustavo R. ; Zaldívar, Daniel.. - p. 3-26 , 2020
Link: https://doi.org/10.1007/..
 
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14

Side-Blotched Lizard Algorithm: A polymorphic population ap..:

Maciel C., Oscar ; Cuevas, Erik ; Navarro, Mario A...
Applied Soft Computing.  88 (2020)  - p. 106039 , 2020
Link: https://doi.org/10.1016/..
 
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15

Micro-Grooved Pipe Design of Parabolic Trough by Metaheuris..:

Valentín Osuna-Enciso ; Marco Pérez-Cisneros ; Daniel Zaldívar-Navarro
https://www.mdpi.com/1996-1073/13/2/449.  , 2020
Link: https://doi.org/10.3390/..
 
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