An adaptive control study for the DC motor using meta-heuristic algorithms-Reference-Cited by-同舟云学术

An adaptive control study for the DC motor using meta-heuristic algorithms

Published:2017-08-29 Issue:3 Volume:23 Page:889-906
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Rodríguez-Molina Alejandro,Villarreal-Cervantes Miguel Gabriel^ORCID,Aldape-Pérez Mario

Funder

Secretaría de Investigación y Posgrado, Instituto Politécnico Nacional

Consejo Nacional de Ciencia y Tecnología

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/article/10.1007/s00500-017-2797-y/fulltext.html

Reference39 articles.

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3. Dasgupta D, McGregor D (1992) Non-stationary function optimization using the structured genetic algorithm. In: Proceedings of parallel problem solving from nature II, PPSN-2, pp 145–154

4. Deb K (2000) An efficient constraint handling method for genetic algorithms. Comput Methods Appl Mech Eng 186(2–4):311–338

5. Derrac J, García S, Molina D, Herrera F (2011) A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms. Swarm Evol Comput 1(1):3–18

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