Metaheuristic optimization algorithms: A comprehensive overview and classification of benchmark test functions
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 …
performance of Meta-Heuristic (MH) optimization techniques. The performance of the MH …
Binary chimp optimization algorithm (BChOA): a new binary meta-heuristic for solving optimization problems
Chimp optimization algorithm (ChOA) is a newly proposed meta-heuristic algorithm inspired
by chimps' individual intelligence and sexual motivation in their group hunting. The …
by chimps' individual intelligence and sexual motivation in their group hunting. The …
Learning adaptive differential evolution algorithm from optimization experiences by policy gradient
Differential evolution is one of the most prestigious population-based stochastic optimization
algorithm for black-box problems. The performance of a differential evolution algorithm …
algorithm for black-box problems. The performance of a differential evolution algorithm …
Block-level knowledge transfer for evolutionary multitask optimization
Evolutionary multitask optimization is an emerging research topic that aims to solve multiple
tasks simultaneously. A general challenge in solving multitask optimization problems …
tasks simultaneously. A general challenge in solving multitask optimization problems …
[HTML][HTML] Flexibility management model of home appliances to support DSO requests in smart grids
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 …
towards a more sustainable and green economy. From a residential point of view, flexibility …
Parameter and strategy adaptive differential evolution algorithm based on accompanying evolution
M Wang, Y Ma, P Wang - Information Sciences, 2022 - Elsevier
Differential evolution (DE) is an intelligent optimization algorithm inspired by biological
evolution. Setting a mutation strategy and control parameters that meet the optimization …
evolution. Setting a mutation strategy and control parameters that meet the optimization …
Knowledge learning for evolutionary computation
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 …
from natural evolution and swarm intelligence behaviors. In the EC algorithm, there is a …
A differential evolution algorithm based on accompanying population and piecewise evolution strategy
M Wang, Y Ma - Applied Soft Computing, 2023 - Elsevier
Differential evolution (DE) is a simple and effective stochastic search algorithm, but its
convergence speed and population diversity often decline catastrophically with the evolution …
convergence speed and population diversity often decline catastrophically with the evolution …
[HTML][HTML] Bidding in local electricity markets with cascading wholesale market integration
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 at the distribution level. However, as such a new concept, how these local markets …
[HTML][HTML] Comparison of evolutionary algorithms for solving risk-based energy resource management considering conditional value-at-risk analysis
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 …
resources in modern society. In fact, with the current high penetration of renewables and …