An improved multi-objective antlion optimization algorithm for the optimal design of the robotic gripper

Author:

Mahanta Golak Bihari1ORCID,Rout Amruta1,V. L Deepak B. B.1,Biswal Bibhuti Bhusan1

Affiliation:

1. Creative Automation Laboratory, Department of Industrial Design, National Institute of Technology, Rourkela, Odisha, India

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Theoretical Computer Science,Software

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Robot Tutucu Problemi için Çok Stratejili Aritmetik Optimizasyon Algoritması;Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji;2024-03-25

2. Novel deterministic and probabilistic combined system based on deep learning and self-improved optimization algorithm for wind speed forecasting;Sustainable Energy Technologies and Assessments;2022-08

3. A comprehensive survey on the ant lion optimiser, variants and applications;Journal of Experimental & Theoretical Artificial Intelligence;2022-07-11

4. A Chaotic Antlion Optimization Algorithm for Text Feature Selection;International Journal of Computational Intelligence Systems;2022-06-27

5. Dynamic optimization of wastewater treatment process based on novel multi-objective ant lion optimization and deep learning algorithm;Journal of Cleaner Production;2022-04

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