A New Hybrid Metaheuristic Algorithm for Multiobjective Optimization Problems
The elitist nondominated sorting genetic algorithm (NSGA-II) is hybridized with the sine-cosine algorithm (SCA) in this paper to solve multiobjective optimization problems. The proposed hybrid algorithm is named nondominated sorting sine-cosine genetic algorithm (NS-SCGA). The main idea of this algo...
Main Authors: | M.A. Farag, A.A. Mousa, M.A. El-Shorbagy, I.M. El-Desoky |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer
2020-06-01
|
Series: | International Journal of Computational Intelligence Systems |
Subjects: | |
Online Access: | https://www.atlantis-press.com/article/125941528/view |
Similar Items
-
Multiobjective Load Dispatch for Coal-Fired Power Plants under Renewable-Energy Accommodation Based on a Nondominated-Sorting Grey Wolf Optimizer Algorithm
by: Yue Cao, et al.
Published: (2022-04-01) -
Generalization of equitable efficiency in multiobjective optimization problems by the direct sum of matrices
by: F. Ahmadi, et al.
Published: (2023-03-01) -
Studying the Effect of Introducing Chaotic Search on Improving the Performance of the Sine Cosine Algorithm to Solve Optimization Problems and Nonlinear System of Equations
by: Mohammed A. El-Shorbagy, et al.
Published: (2023-03-01) -
Evaluate the Effectiveness of Multiobjective Evolutionary Algorithms by Box Plots and Fuzzy TOPSIS
by: Xiaobing Yu, et al. -
An Improved Future Search Algorithm Based on the Sine Cosine Algorithm for Function Optimization Problems
by: Yuqi Fan, et al.
Published: (2023-01-01)