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| Evaluation Method of Cone’s Global Angular Size |
| ZHAO Xinyu1,ZHAO Zexiang2,LI Bin3,REN Dongxu3,XI Jianpu3 |
1. School of Computer Science, Zhongyuan University of Technology, Zhengzhou, Henan 450007, Chin;
2. School of Mechatronics Engineering, Zhongyuan University of Technology, Zhengzhou, Henan 450007, China
3. Key Laboratory of Optical Sensing and Testing Technology for Mechanical Industry, Zhengzhou, Henan 450007, China |
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Abstract The evaluation methods of cones global angular sizes were promoted based on the roundness profile extraction strategy, and the evaluation models of the least square global angular size and the minimax global angular size of cone were built. Based on the established evaluation model, the flowchart of the moth-flame optimization algorithm for evaluation of cones global angular sizes were given. The least square and minimax global angular sizes of four cone simulated samples were evaluated by using the developed program, and their evaluation results and optimization characteristics values obtained based on different evaluation methods, different optimization initial values and different optimization algorithms were compared. The minimax global angular sizes of one sample were evaluated using crow search algorithm, artificial ecosystem-based optimization, equilibrium optimizer and particle swarm optimization, and their results were compared with those of MFO. In addition to the influence of optimization initial values, the evaluation results were influenced by the search interval, the population number and the maximum number of iterations, but their influence regularities were not strong. In general, the results evaluated by MFO are better than those evaluated by the other four optimization methods.
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Received: 09 October 2023
Published: 25 March 2024
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2024, Vol. 45 
