This review aims to exploit a study on different benchmark test functions used to evaluate the
performance of Meta-Heuristic (MH) optimization techniques. The performance of the MH …

Chimp optimization algorithm (ChOA) is a newly proposed meta-heuristic algorithm inspired
by chimps' individual intelligence and sexual motivation in their group hunting. The …

Differential evolution is one of the most prestigious population-based stochastic optimization
algorithm for black-box problems. The performance of a differential evolution algorithm …

Evolutionary multitask optimization is an emerging research topic that aims to solve multiple
tasks simultaneously. A general challenge in solving multitask optimization problems …

Several initiates have been taken promoting clean energy and the use of local flexibility
towards a more sustainable and green economy. From a residential point of view, flexibility …

Differential evolution (DE) is an intelligent optimization algorithm inspired by biological
evolution. Setting a mutation strategy and control parameters that meet the optimization …

Evolutionary computation (EC) is a kind of meta-heuristic algorithm that takes inspiration
from natural evolution and swarm intelligence behaviors. In the EC algorithm, there is a …

Differential evolution (DE) is a simple and effective stochastic search algorithm, but its
convergence speed and population diversity often decline catastrophically with the evolution …

Local electricity markets are a promising idea to foster the efficiency and use of renewable
energy at the distribution level. However, as such a new concept, how these local markets …

Energy management systems must evolve due to the widespread use of distributed energy
resources in modern society. In fact, with the current high penetration of renewables and …