Hybrid improved sine cosine algorithm for mixed-integer nonlinear programming problems

Aiming at the shortcomings of existing algorithms in solving mixed-integer programming problems, such as local convergence and poor solution accuracy, this paper presents a hybrid improved sine and cosine algorithm. The improved position update formula is introduced to enhance the global and local s...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Jg. 27; H. 20; S. 14909 - 14933
Hauptverfasser:	Song, Haohao, Wang, Jiquan, Cheng, Zhiwen, Chang, Tiezhu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2023 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Computational Intelligence Control Convergence Engineering Evolution & development Genetic algorithms Integer programming Mathematical Logic and Foundations Mechatronics Mixed integer Mutation Nonlinear programming Optimization Optimization algorithms Robotics Scheduling Trigonometric functions Water waves Mixed-integer nonlinear programming Improved sine cosine algorithm Combined mutation
ISSN:	1432-7643, 1433-7479
Online-Zugang:	Volltext
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