@inproceedings{96ffa4ea592a4ee6ab7b76df63b592bc,
title = "Social Network Search Guided by Spherical Evolution",
abstract = "Socia1 network search (SNS) is one of the up-to-date nature-inspired algorithms that modulates optimization behavior by simulating the behavioral and emotional changes of social network users. SNS has proven to be relatively good at handling different types of optimization problems. Spherical search has been one of the more successful search strategies in recent years because it uses a spherical search approach to search a larger solution space and has a good embedding in various algorithms. We propose an improved algorithm SESNS based on these properties, mapping out a better approach and strategy for the hybrid algorithm. To verify the success of this improved algorithm, we choose CEC2017 as the test set and several other metaheuristic algorithms as competitors to demonstrate the effectiveness of our improved method.",
keywords = "hybrid algorithm, meta-heuristic, nature-inspired, social network, spherical search",
author = "Jiaru Yang and Yu Zhang and Chengxi Xue and Tongyan Liu and Shangce Gao",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022 ; Conference date: 29-11-2022 Through 02-12-2022",
year = "2022",
doi = "10.1109/SCISISIS55246.2022.10002057",
language = "英語",
series = "2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022",
}