Objective Function and Derivatives The input argument fun refers to an IML module that specifies a function that returns f, a vector of length m for least-squares subroutines or a scalar for other ...

An advanced solution is to apply distributed optimization by integrating intelligent nodes across a network. This paper deals with distributed optimization via the event-triggered (ET) consensus ...

Noisy, discontinuous, or multimodal objective functions pose significant challenges for numerical optimization methods. These functions are often encountered in real-world problems, such as ...

Optimization problems concern exploration of the best possible solutions to a given problem. The feasible solutions are termed good or bad based on the respective values of the objective function. For ...

Objective functions—mathematical formulations that define what success looks like—provide this essential clarity. While common in traditional optimization, these structured targets are often ...

This article presents grey relational analysis (GRA)-based objective function optimization in predictive torque control (PTC) for induction machine. Selection of appropriate weighting factor in the ...