Comparison of NSGA-II, MOALO and MODA for Multi-Objective Optimization of Micro-Machining Processes
Milan Joshi(Narsee Monjee Institute of Management Studies), Xiao‐Zhi Gao(University of Eastern Finland), S. Madhu(Saveetha University), Ranjan Kumar Ghadai(Manipal Academy of Higher Education), Kanak Kalita(Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology)
Cited by 43
Related Papers
DEMNET: A Deep Learning Model for Early Diagnosis of Alzheimer Diseases and Dementia From MR Images
|IEEE Access|2021|372
A Comparative Study of Linear, Random Forest and AdaBoost Regressions for Modeling Non-Traditional Machining
|Processes|2021|172
Random Forest Regression-Based Machine Learning Model for Accurate Estimation of Fluid Flow in Curved Pipes
|Processes|2021|128
Machine Learning-Based Predictive Modelling of Biodiesel Production—A Comparative Perspective
|Energies|2021|109
Efficient Feature Selection Using Weighted Superposition Attraction Optimization Algorithm
|Applied Sciences|2023|106