Evolutionary computation is attracting attention in the energy domain as an alternative to
tackle inherent mathematical complexity of some problems related to high-dimensionality …

Differential evolution (DE) and Estimation of distribution algorithm (EDA) exhibit
complementary superiority in solving complex continuous optimization and engineering …

Energy resource management (ERM) is important to an energy system. Effective
management is hard to achieve because of the ubiquitous uncertainty of distributed energy …

This research introduces a groundbreaking strategy for urban microgrid (MG) management
and social economics, focusing on enhancing energy efficiency, reliability, and steering …

The first stage in the precision agriculture cycle has been a vital study area in recent years
because it allows soil testing followed by data analysis. In this stage, a strategic delineation …

The management of today's smart grids is a challenge due to the stochastic nature of
renewable energies, the vehicle-to-grid functionalities, the participation of external providers …

One of the challenges to making cities and human settlements inclusive, safe, resilient, and
sustainable is to manage energy efficiently. Thus, develo** algorithms to address smart …

We propose the concept of “explainergy”, a new way of including explainability in the
metaheuristic performance of algorithms solving problems in the energy domain. To this …

En la práctica de la actividad económica, política y social, el hombre precisa del transporte
como medio para satisfacer diversas necesidades. En esta investigación se desarrollan …

Lograr que las ciudades y los asentamientos humanos sean inclusivos, seguros, resilientes
y sostenibles es un objetivo de desarrollo sostenible de la Organización de Naciones …