Abstract: The Kriging model has been widely used in regression-based surrogate-assisted evolutionary algorithms (SAEAs) for expensive multiobjective optimization by using one model to approximate one ...

This is an updated version of the SLSQP nonlinear constrained optimization code. It can be used to solve nonlinear programming problems that seek to minimize a scalar performance index subject to ...

Abstract: Urban traffic congestion remains a critical challenge for smart city development, necessitating innovative approaches to improve traffic flow and reduce delays. This study presents a novel ...