Achieving Fairness in an Optimization Model, by Özgün Elçi, John Hooker, and Peter Zhang, challenges how people typically think about mathematical decision-making tools. Published by Springer Nature ...

The flowchart is presented in Figure 1. Ant colony optimization (ACO) [7] [8]: ACO is a heuristic algorithm that simulates the foraging behavior of ant colonies. It addresses combinatorial ...

The class of optimization algorithms in machine learning is capable of tuning model parameters to minimize arguments of loss functions, for better prediction accuracy. Familiarity with these ...

In response to the issue of harvesting machine failures affecting crop harvesting timing, this study develops an emergency scheduling model and proposes a hybrid optimization algorithm that combines a ...

This paper provides a novel meta-heuristic optimization algorithm for solving continuous optimization problems efficiently in the field of numerical and engineering optimization: Piranha Foraging ...

Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue ...