Optimization of traffic flow in a road network using MATLAB's Genetic Algorithm. Applied to a nonlinear objective function with equality constraints ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

Want your business to show up in Google’s AI-driven results? The same principles that help you rank in Google Search still matter – but AI introduces new dimensions of context, reputation, and ...

Introduction: Effective energy management for optimizing energy and speed allocation for athletes in road cycling individual time trials is crucial due to the race’s long distances. Existing ...

1 School of Mathematics and Statistics, Sichuan University of Science and Engineering, Zigong, China. 2 Institute of Computational Mathematics and Scientific/Engineering Computing, Chinese Academy of ...

ABSTRACT: Ahead of the Internet of Things and the emergence of big data, the interest of research is today focused on radio access and the process of optimizing it or increasing its capacity and ...

Abstract: The genetic algorithm serves as an efficient global optimization search method for the reactive power management within power systems. To minimize active power losses and ensure that ...

Abstract: Genetic algorithm (GA) is a widely used optimization method, and its performance is closely related to its crossover strategy. In this article, a novel mechanism named “genomic crossover” is ...

Code for "Global optimization for AVO inversion: a genetic algorithm using a table-based ray-theory algorithm" presented at the 78th EAGE Conference and Exhibition 2016.