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Improved Seagull Optimization Algorithm Combined with an Unequal Division Method to Solve Dynamic Optimization Problems [PDF]

open access: yesProcesses, 2021
The numerical solution of the dynamic optimization problem is often sought for chemical processes, but the discretization of control variables is a difficult problem. Firstly, based on the analysis of the seagull optimization algorithm, this paper introduces the cognitive part in the process of a seagull’s attack behavior to make the group approach the
Le Xu
exaly   +2 more sources

Application of Distributed Seagull Optimization Improved Algorithm in Sentiment Tendency Prediction

Lecture Notes in Networks and Systems, 2021
Emotion analysis is of great practical significance in the aspects of network control, public opinion monitoring and public sentiment guidance. In order to obtain better accuracy of emotion classification and analyze users’ emotion tendency more accurately, a distributed model of emotion classification with improved Seagull optimization algorithm (SOA)
Hongwei Chen   +4 more
exaly   +2 more sources

A Novel Hybrid Model Based on an Improved Seagull Optimization Algorithm for Short-Term Wind Speed Forecasting [PDF]

open access: yesProcesses, 2021
Wind energy is a clean energy source and is receiving widespread attention. Improving the operating efficiency and economic benefits of wind power generation systems depends on more accurate short-term wind speed predictions. In this study, a new hybrid model for short-term wind speed forecasting is proposed.
Xiaoling Ye, Xiong Xiong, Yuanlu Li
exaly   +2 more sources

RETRACTED: Improved seagull optimization algorithm combined with random division method to solve dynamic optimization problems

Journal of Intelligent & Fuzzy Systems, 2022
This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Xu, Le, Mo, Yuanbin, Lu, Yanyue
openaire   +1 more source

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