Abstract: Solving constrained multi-objective optimization problems (CMOPs) is a challenging task due to the presence of multiple conflicting objectives and intricate constraints. In order to better ...

Abstract: Dynamic multi-objective optimization problems (DMOPPs) are prevalent in complex engineering and management systems, where decision-makers must balance conflicting objectives under ...

In this study, a multi-objective optimization methodology is used to assess the crashworthiness of an aluminum foam-filled battery box designed for passenger cars. Unlike most research focusing on ...