A novel mutual aid Salp Swarm Algorithm for global optimization

2021 ◽  
Author(s):  
Huanlong Zhang ◽  
Yuxing Feng ◽  
Wanwei Huang ◽  
Jie Zhang ◽  
Jianwei Zhang
Keyword(s):  
Global Optimization ◽  
Mutual Aid ◽  
Salp Swarm Algorithm ◽  
Swarm Algorithm

Salp swarm algorithm with crossover scheme and Lévy flight for global optimization

2021 ◽  
pp. 1-12
Author(s):  
Heming Jia ◽  
Chunbo Lang
Keyword(s):  
Global Optimization ◽  
Heuristic Algorithm ◽  
Experimental Results ◽  
High Dimensional ◽  
Lévy Flight ◽  
Test Functions ◽  
Levy Flight ◽  
Salp Swarm Algorithm ◽  
Swarm Algorithm ◽  
Accuracy And Stability

Salp swarm algorithm (SSA) is a meta-heuristic algorithm proposed in recent years, which shows certain advantages in solving some optimization tasks. However, with the increasing difficulty of solving the problem (e.g. multi-modal, high-dimensional), the convergence accuracy and stability of SSA algorithm decrease. In order to overcome the drawbacks, salp swarm algorithm with crossover scheme and Lévy flight (SSACL) is proposed. The crossover scheme and Lévy flight strategy are used to improve the movement patterns of salp leader and followers, respectively. Experiments have been conducted on various test functions, including unimodal, multimodal, and composite functions. The experimental results indicate that the proposed SSACL algorithm outperforms other advanced algorithms in terms of precision, stability, and efficiency. Furthermore, the Wilcoxon’s rank sum test illustrates the advantages of proposed method in a statistical and meaningful way.

scholarly journals Rank-driven salp swarm algorithm with orthogonal opposition-based learning for global optimization

2021 ◽  
Author(s):  
Zongshan Wang ◽  
Hongwei Ding ◽  
Zhijun Yang ◽  
Bo Li ◽  
Zheng Guan ◽  
...  
Keyword(s):  
Global Optimization ◽  
Salp Swarm Algorithm ◽  
Opposition Based Learning ◽  
Swarm Algorithm

scholarly journals An Opposition-Based Chaotic Salp Swarm Algorithm for Global Optimization

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 36485-36501 ◽  
Author(s):  
Xiaoqiang Zhao ◽  
Fan Yang ◽  
Yazhou Han ◽  
Yanpeng Cui
Keyword(s):  
Global Optimization ◽  
Salp Swarm Algorithm ◽  
Swarm Algorithm

A novel chaotic salp swarm algorithm for global optimization and feature selection

2018 ◽  
Vol 48 (10) ◽  
pp. 3462-3481 ◽  
Author(s):  
Gehad Ismail Sayed ◽  
Ghada Khoriba ◽  
Mohamed H. Haggag
Keyword(s):  
Feature Selection ◽  
Global Optimization ◽  
Salp Swarm Algorithm ◽  
Swarm Algorithm

A multi-strategy enhanced salp swarm algorithm for global optimization

2020 ◽  
Author(s):  
Hongliang Zhang ◽  
Zhennao Cai ◽  
Xiaojia Ye ◽  
Mingjing Wang ◽  
Fangjun Kuang ◽  
...  
Keyword(s):  
Global Optimization ◽  
Salp Swarm Algorithm ◽  
Swarm Algorithm

Improved Salp Swarm Algorithm with mutation schemes for solving global optimization and engineering problems

2021 ◽  
Author(s):  
Bhaskar Nautiyal ◽  
Rishi Prakash ◽  
Vrince Vimal ◽  
Guoxi Liang ◽  
Huiling Chen
Keyword(s):  
Global Optimization ◽  
Salp Swarm Algorithm ◽  
Engineering Problems ◽  
Swarm Algorithm
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