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

Notes. This book item is devoted to a very useful math subject Optimization of Objective Functions. It was reviewed in the end of 2008 by well-known mathematician and author of math books – Professor ...

Before you can write an objective function, you need to understand the context and scope of your OR problem. This means identifying the relevant variables, parameters, constraints, and assumptions ...

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 ...

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 ...

2394 Introduction: Iterative tomographic reconstruction requires an objective function that defines the goodness of an image estimate. In this work, we propose a novel use of deep learning in which we ...

In this paper, the problem of online distributed optimization subject to a convex set is studied by employing a network of agents. Each agent's objective function is time-varying and nonconvex and the ...

generator optimization objective-functions objective-function objective-function-optimization Updated Nov 21, 2024; C++; Improve this page Add a description, image, and links to the objective-function ...