This paper proposes an improved evolutionary algorithm with parallel evaluation strategy (EAPES) for solving constrained multi-objective optimization problems (CMOPs) efficiently.EAPES stores feasible solutions and infeasible solution separately in different populations, and evaluates infeasible solutions in an unusual manner, such that not only fe
Let $ A = kQ/I $ be a string algebra.We show that, if for any Margarita Glasses vertex $ v $ of its bound quiver $ (Q, I) $, there exists at most one arrow (resp.at most two arrows) ending with $ v $ and there exist at most two arrows (resp.at most one arrow) starting with $ v $, then the number of indecomposable modules over $ A $ is $ dim_{k}A+Si
Abstract Gradient descent and its variants are foundational in solving optimization problems across many disciplines.In deep learning, these optimizers demonstrate a remarkable ability to dynamically navigate complex loss landscapes, ultimately converging to solutions that generalize well.To elucidate the mechanism underlying this ability, we intro
Abstract Bacterial biofilms are surface-attached communities that are Margarita Glasses difficult to eradicate due to a high tolerance to antimicrobial agents.The use of non-biocidal surface-active compounds to prevent the initial adhesion and aggregation of bacterial pathogens is a promising alternative to antibiotic treatments and several antibio