Fuzzy Chemical Reaction Algorithm with Dynamic Adaptation of Parameters-Reference-Cited by-同舟云学术

Fuzzy Chemical Reaction Algorithm with Dynamic Adaptation of Parameters

Published:2017-09-30 Issue: Volume: Page:122-130
ISSN:2194-5357
Container-title:Fuzzy Logic in Intelligent System Design
language:
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Author:

de la O David,Castillo Oscar,Astudillo Leslie,Soria Jose

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-67137-6_13

Reference14 articles.

1. Amador-Angulo, L., Castillo, O.: Comparison of the optimal design of fuzzy controllers for the water tank using ant colony optimization. In: Recent Advances on Hybrid Approaches for Designing Intelligent Systems, pp. 255–273. Springer International Publishing (2014)

2. Amador-Angulo, L., Castillo, O.: A fuzzy bee colony optimization algorithm using an interval type-2 fuzzy logic system for trajectory control of a mobile robot. In: Mexican International Conference on Artificial Intelligence, pp. 460–471. Springer International Publishing, October 2015

3. Astudillo, L., Castillo, O., Aguilar, L., Martínez, R.: Hybrid control for an autonomous wheeled mobile robot under perturbed torques. In: IFSA, vol. 1, pp. 594–603 (2007)

4. Astudillo L., Castillo O., Aguilar L.: Intelligent control of an autonomous mobile robot using Type-2 fuzzy logic. In: IC-AI 2006, pp. 565–570 (2006)

5. Astudillo, L., Melin, P., Castillo, O.: A new optimization method based on a paradigm inspired by nature. In: Soft Computing for Recognition Based on Biometrics, pp. 277–283. Springer, Heidelberg (2010)

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