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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Bibliographic Details
Published in:	Soft computing (Berlin, Germany) Vol. 27; no. 20; pp. 14909 - 14933
Main Authors:	Song, Haohao, Wang, Jiquan, Cheng, Zhiwen, Chang, Tiezhu
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2023 Springer Nature B.V
Subjects:	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 Access:	Get full text
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