Abstract: The main aim of this research study is to provide a complex machine learning framework for Multi-Objective, Multi-Product, and Multi-Period Supply Chain Optimization (M3 SCO). We used a ...

Abstract: In recent years, many multimodal multi-objective evolutionary algorithms (MMOEAs) have been proposed for the widely existing multimodal multi-objective optimization problems (MMOPs) in ...

Reliable fault diagnostics in gearboxes is of great importance to industries to improve production quality and reduce maintenance costs. In this paper, an improved evolving fuzzy (iEF) technique is ...