Decentralized Differential Evolutionary Algorithm for Large-Scale Networked Systems

Author(s):  
Guanghong Han ◽  
Xi Chen ◽  
Qianchuan Zhao
Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-24
Author(s):  
Wali Khan Mashwani ◽  
Zia Ur Rehman ◽  
Maharani A. Bakar ◽  
Ismail Koçak ◽  
Muhammad Fayaz

Bound-constrained optimization has wide applications in science and engineering. In the last two decades, various evolutionary algorithms (EAs) were developed under the umbrella of evolutionary computation for solving various bound-constrained benchmark functions and various real-world problems. In general, the developed evolutionary algorithms (EAs) belong to nature-inspired algorithms (NIAs) and swarm intelligence (SI) paradigms. Differential evolutionary algorithm is one of the most popular and well-known EAs and has secured top ranks in most of the EA competitions in the special session of the IEEE Congress on Evolutionary Computation. In this paper, a customized differential evolutionary algorithm is suggested and applied on twenty-nine large-scale bound-constrained benchmark functions. The suggested C-DE algorithm has obtained promising numerical results in its 51 independent runs of simulations. Most of the 2013 IEEE-CEC benchmark functions are tackled efficiently in terms of proximity and diversity.


2021 ◽  
pp. 233-257
Author(s):  
Chengpu Yu ◽  
Lihua Xie ◽  
Michel Verhaegen ◽  
Jie Chen

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