Author:
Caraveo Camilo,Valdez Fevrier,Castillo Oscar
Publisher
Springer International Publishing
Reference27 articles.
1. Yang, X. S. (2013). Multiobjective firefly algorithm for continuous optimization. Engineering with Computers, 29(2), 175–184.
2. Yang, X. S. (2010). Firefly algorithm, stochastic test functions and design optimisation. International Journal of Bio-Inspired Computation, 2(2), 78–84.
3. Liang, J. J., Qu, B. Y., Suganthan, P. N., & Chen, Q. (2014). Problem definitions and evaluation criteria for the CEC 2015 competition on learning-based real-parameter single objective optimization. Technical Report 201411A, Computational Intelligence Laboratory, Zhengzhou University, Zhengzhou China and Technical Report, Nanyang Technological University, Singapore.
4. Molina, D., & Herrera, F. (2015, May). Iterative hybridization of DE with local search for the CEC’2015 special session on large scale global optimization. In 2015 IEEE Congress on Evolutionary Computation (CEC) (pp. 1974–1978). IEEE.
5. Caraveo, C., Valdez, F., & Castillo, O. (2015). A new bio-inspired optimization algorithm based on the self-defense mechanisms of plants. In Design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization (pp. 211–218). Springer International Publishing.
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