Moth-flame optimizer (MFO) is one of the recently proposed metaheuristic optimization techniques which has been successfully used in wide range of applications. However, there are …
… The experimental section of this paper is particularly robust, with tests of not just the diversity, effect of parameters, statisticalanalysis, and normal engineering test issues, but also …
SK Majhi - Recent Developments in Machine Learning and Data …, 2019 - Springer
… Many statistical techniques and cognitive science approaches like machine intelligence are … A comparative analysis has been performed with respect to the recently published works. …
S Ishiguro, T Endo, A Yamamoto - Journal of Nuclear Science and …, 2020 - Taylor & Francis
… moth toward a flame generates a new candidate moth. Distance between the current moth and a flame … to choose candidate moth position, is an important factor, sensitivity analysis is …
S Chatterjee, D Saha, S Sen, D Oliva… - Multimedia Tools and …, 2024 - Springer
… [53] used image analysis software to analyze facial expressions of pain and pleasure … to humans in distinguishing these expressions, and statistical methods were used to explain why …
S Kigsirisin, H Miyauchi - IEEE Access, 2021 - ieeexplore.ieee.org
… cost by BAMFO and its statisticalanalysis prove the performances of BAMFO superior to BMFO and other optimization methods in the literature. The abovementioned flying movements …
… over these algorithms and analyze the significant improvement … The better result of the two comparisons for statistical and … the ELM algorithm in all the statistical and Wilcoxon rank test …
… Computerized medical imaging analysis aims to detect and delineate anatomical structures. … The experiments of the proposed approach of segmentation using MFO, statistical image …
… moth-flame approach to automatically detect tomato diseases was proposed. The moth-flame … The proposed algorithm used both of the power of exploration of the mothflame and the …