In this work, we address a question that has attracted intense interest in recent years: whether machine learning-assisted algorithms can genuinely outperform classical approaches in challenging ...

ABSTRACT: This work presents hybrid optimization methods based on the Threshold Accepting algorithm, Local Search Process, and Variable Neighborhood Search algorithm for the construction of uniform ...

Simulated annealing is a probabilistic metaheuristic inspired by the physical process of annealing in metallurgy, where controlled cooling enables a metal to reach a low-energy crystalline state. In ...

An Excel VBA implementation of the Simulated Annealing metaheuristic optimisation algorithm, built as a 2nd Year Industrial Engineering project at Stellenbosch University (2022). The Simulated ...

Abstract: In order to improve the evolution efficiency and species diversity of traditional genetic algorithm in solving TSP problems, a modified hybrid simulated annealing genetic algorithm is ...

Personalized cancer treatment requires precise scheduling of multiple therapeutic agents under biological constraints. Optimizing such regimens is especially challenging due to the nonlinear dynamics ...

Anastasia Maria Loupis Average daily views on X 43.1 million views Post on Dec. 2 goes viral Anastasia Maria Loupis runs a popular account on X that used to receive hundreds of thousands of views each ...

Abstract: Electric vehicle distribution has short mileage, strong time dependence, and is more vulnerable to road congestion in urban road networks. In order to solve the problem of high distribution ...

ABSTRACT: This paper addresses the shortcomings of the Sparrow and Eagle Optimization Algorithm (SBOA) in terms of convergence accuracy, convergence speed, and susceptibility to local optima. To this ...

This Frontiers Research Topic comprises 13 peer-reviewed papers published in the period August 2023 through June 2024. These papers are cross-listed with Frontiers in Computer Science. The call for ...