Objective probability estimates the odds of an event occurring through data analysis. It uses concrete measures instead of guesses to provide a reliable forecast.
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: In this paper, a multi-objective topology optimization methodology which incorporates a novel hybrid multi-objective optimization (MOO) algorithm with a material-field series expansion (MFSE ...