MOSSA: An Efficient Swarm Intelligent Algorithm to Solve Global Optimization and Carbon Fiber Drawing Process Problems

作     者：Xue, Jiankai Zhang, Chenglong Wang, Muming Dong, Xuezhe 

作者机构：Anhui Univ Technol Sch Comp Sci & Technol Maanshan 243032 Peoples R China Chinese Univ Hong Kong Sch Data Sci Shenzhen 518172 Peoples R China Univ Sci & Technol China Sch Informat Sci & Technol Hefei 230026 Peoples R China Univ Calgary Dept Chem & Petr Engn Calgary AB T2N 1N4 Canada Hong Kong Polytech Univ Dept Appl Phys Hong Kong Peoples R China 

出 版 物：《IEEE INTERNET OF THINGS JOURNAL》 (IEEE Internet Things J.)

年 卷 期：2025年第12卷第9期

页      面：11940-11953页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Foundation of State Key Laboratory of Public Big Data [PBD2023-34] 

主　　题：Optimization Search problems Pareto optimization Genetic algorithms Carbon Convergence Vectors Particle swarm optimization Internet of Things Sorting Carbon fiber multiobjective optimization Pareto optimality sparrow search algorithm (SSA) swarm intelligence 

摘      要：In this article, the sparrow search algorithm (SSA) is extended to the multiobjective SSA (MOSSA) with the purpose of efficiently solving the multiobjective optimization problems (MOPs). First, the MOSSA adaptively evaluates nondominated sparrow individuals stored in the external archive (EA) by using an adaptive mesh approach, which is utilized to obtain the best producer. Second, the scrounger sparrows adjust their trajectories according to the location of the best producer, called the scrounger follow strategy, which can improve the quality of the solutions when solving MOPs. Then, the proposed scouter search strategy is capable of maintaining population diversity and accelerate convergence. Moreover, the EA is pruned with the aim of avoiding the waste of computing resources. Extensive experiments with 22 benchmark examples validate the effectiveness of our approach against six state-of-the-art optimization approaches. Finally, the MOSSA is applied in the carbon fiber drawing process problems and the stretching parameters obtained by the MOSSA is reasonable.