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Multi-level thresholding-based grey scale image segmentation using multi-objective multi-verse optimizer., , , and . Expert Syst. Appl., (2019)A Multilevel Thresholding algorithm using electromagnetism optimization., , , , and . Neurocomputing, (2014)Enhanced feature selection technique using slime mould algorithm: a case study on chemical data., , , , , , and . Neural Comput. Appl., 35 (4): 3307-3324 (February 2023)A new multi-objective optimization algorithm combined with opposition-based learning., , and . Expert Syst. Appl., (2021)An efficient Harris hawks-inspired image segmentation method., , , , , , and . Expert Syst. Appl., (2020)ASCA-PSO: Adaptive sine cosine optimization algorithm integrated with particle swarm for pairwise local sequence alignment., , , , , and . Expert Syst. Appl., (2018)A Hybrid Method of Sine Cosine Algorithm and Differential Evolution for Feature Selection., , , , and . ICONIP (5), volume 10638 of Lecture Notes in Computer Science, page 145-155. Springer, (2017)Hyper-heuristic method for multilevel thresholding image segmentation., , and . Expert Syst. Appl., (2020)An Improved Grasshopper Optimization Algorithm Based Echo State Network for Predicting Faults in Airplane Engines., , , , and . IEEE Access, (2020)BEPO: A novel binary emperor penguin optimizer for automatic feature selection., , , , , , and . Knowl. Based Syst., (2021)