scholarly journals The Hybrid Intelligent Optimization Algorithm and Multi-objective Optimization Based on Big Data

2021 ◽  
Vol 1757 (1) ◽  
pp. 012132
Author(s):  
Xin Nie ◽  
Jian Luo
Author(s):  
Shao Heng

In the era of multimedia big data, the online learning behavior of users becomes rich and colorful. This paper proposes a hybrid clonal selection differential evolution optimization algorithm based on clonal selection algorithm and differential evolution in multimedia big data environment. The proposed intelligent optimization algorithm treats each e-learning behavior of the user as an antibody, and gets the best results of multimedia big data mining by a number of iterative searches. Experimental results show the feasibility and effectiveness of the proposed intelligent optimization algorithm.


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