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Parallel differential evolution with self-adapting control parameters and generalized opposition-based learning for solving high-dimensional optimization problems.

H. Wang, S. Rahnamayan, and Z. Wu. J. Parallel Distrib. Comput., 73 (1): 62-73 (2013)

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Hanchuan Wu University of Stuttgart

Yongxiang Wu University of Stuttgart

Tim Würtele University of Stuttgart

Amelie Wührl University of Stuttgart

PD Dr. phil. Joachim Wündisch University of Stuttgart

Other publications of authors with the same name

An adaptive neighborhood-based multi-parent crossover operator for real-coded genetic algorithms.J. Li, L. Kang, and Z. Wu. IEEE Congress on Evolutionary Computation (1), page 14-21. IEEE, (2003)A Novel Enhanced Particle Swarm Optimization Method with Diversity and Neighborhood Search.D. Tran, Z. Wu, and H. Wang. SMC, page 180-187. IEEE, (2013)Gaussian bare-bones artificial bee colony algorithm.X. Zhou, Z. Wu, H. Wang, and S. Rahnamayan. Soft Comput., 20 (3): 907-924 (2016)Improved differential evolution with adaptive opposition strategy.H. Liu, Z. Wu, H. Wang, S. Rahnamayan, and C. Deng. IEEE Congress on Evolutionary Computation, page 1776-1783. IEEE, (2014)Predicting Acute Hypotensive Episodes Based on Multi GP.D. Jiang, B. Hu, and Z. Wu. ISICA, volume 575 of Communications in Computer and Information Science, page 161-170. Springer, (2015)Cloud platform load balancing based on bee colony algorithm.F. Xue, and Z. Wu. IJRIS, 11 (1): 57-64 (2019)Best neighbor-guided artificial bee colony algorithm for continuous optimization problems.H. Peng, C. Deng, and Z. Wu. Soft Comput., 23 (18): 8723-8740 (2019)A Hybrid Particle Swarm Optimization Algorithm Based on Space Transformation Search and a Modified Velocity Model.S. Yu, Z. Wu, H. Wang, and Z. Chen. HPCA (China), volume 5938 of Lecture Notes in Computer Science, page 522-527. Springer, (2009)Enhancing particle swarm optimization using generalized opposition-based learning.H. Wang, Z. Wu, S. Rahnamayan, Y. Liu, and M. Ventresca. Inf. Sci., 181 (20): 4699-4714 (2011)Optimization of Grid Resource Allocation Combining Fuzzy Theory with Generalized Assignment Problem.M. Li, X. Chen, F. Jiao, and Z. Wu. GCC, page 142-146. IEEE Computer Society, (2007)

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