The reptile search algorithm is an effective optimization method based on the natural laws of the biological world. By restoring and simulating the hunting process of reptiles, good optimization results can be achieved. However, due to the limitations of natural laws, it is easy to fall into local optima during the exploration phase. Inspired by the different search fields of biological organisms with varying flight heights, this paper proposes a reptile search algorithm considering different flight heights. In the exploration phase, introducing the different flight altitude abilities of two animals, the northern goshawk and the African vulture, enables reptiles to have better search horizons, improve their global search ability, and reduce the probability of falling into local optima during the exploration phase. A novel dynamic factor (DF) is proposed in the exploitation phase to improve the algorithm’s convergence speed and optimization accuracy. To verify the effectiveness of the proposed algorithm, the test results were compared with ten state-of-the-art (SOTA) algorithms on thirty-three famous test functions. The experimental results show that the proposed algorithm has good performance. In addition, the proposed algorithm and ten SOTA algorithms were applied to three micromachine practical engineering problems, and the experimental results show that the proposed algorithm has good problem-solving ability.

More from our Archive

• DOI: 10.1002/jgm.3563 2023

  CRISPR‐Cas9 screening identified lethal genes enriched in necroptosis pathway and of prognosis significance in osteosarcoma

  Ling Cheng, Wei Xiong, Song Li, Gao Wang, Jie Zhou, Haoguang Li

• DOI: 10.1002/jgm.3558 2023

  Identification of the shared gene signatures and molecular pathways in systemic lupus erythematosus and diffuse large B‐cell lymphoma

  Haoguang Li, Jie Zhou, Lu Zhou, Xiuling Zhang, Jingjing Shang, Xueqin Feng, Le Yu, Jie Fan, Jie Ren, Rongwei Zhang, Xinwang Duan

• DOI: 10.3390/biomimetics8030310 2023

  Binary Sand Cat Swarm Optimization Algorithm for Wrapper Feature Selection on Biological Data

  Amir Seyyedabbasi

• DOI: 10.3390/ph16070934 2023

  A Scoping Review and Meta-Analysis of Anti-CGRP Monoclonal Antibodies: Predicting Response

  Ja Bin Hong, Kristin Sophie Lange, Lucas Hendrik Overeem, Paul Triller, Bianca Raffaelli, Uwe Reuter

• DOI: 10.3390/molecules28135145 2023

  Cancer Nanomedicine: Emerging Strategies and Therapeutic Potentials

  Manman Xu, Xinpu Han, Hongtai Xiong, Yijie Gao, Bowen Xu, Guanghui Zhu, Jie Li

• DOI: 10.3390/molecules28135282 2023

  Anti-α-Glucosidase, SAR Analysis, and Mechanism Investigation of Indolo[1,2-b]isoquinoline Derivatives

  Mengyue Li, Lin Li, Li Lu, Xuetao Xu, Jinhui Hu, Jin-Bao Peng

• DOI: 10.3390/molecules28135186 2023

  Homogeneous Electrochemical Aptamer Sensor Based on Two-Dimensional Nanocomposite Probe and Nanochannel Modified Electrode for Sensitive Detection of Carcinoembryonic Antigen

  Zhengzheng Yan, Shiyue Zhang, Jiyang Liu, Jun Xing

• DOI: 10.3390/molecules28145407 2023

  Recent Developments and Applications of Microbial Levan, A Versatile Polysaccharide-Based Biopolymer

  Marta Domżał-Kędzia, Monika Ostrowska, Agnieszka Lewińska, Marcin Łukaszewicz

• DOI: 10.3390/molecules28135024 2023

  Evaluation of Antimicrobial, Anticholinesterase Potential of Indole Derivatives and Unexpectedly Synthesized Novel Benzodiazine: Characterization, DFT and Hirshfeld Charge Analysis

  Abdul Rauf Raza, Syeda Laila Rubab, Muhammad Ashfaq, Yasir Altaf, Muhammad Nawaz Tahir, Muhammad Fayyaz ur Rehman, Tariq Aziz, Metab Alharbi, Abdullah F. Alasmari

• DOI: 10.3390/molecules28145428 2023

  Biomedical Applications of Zirconia-Based Nanomaterials: Challenges and Future Perspectives

  Azzah M. Bannunah