Ensemble strategies for population-based optimization algorithms–A survey
In population-based optimization algorithms (POAs), given an optimization problem, the
quality of the solutions depends heavily on the selection of algorithms, strategies and …
quality of the solutions depends heavily on the selection of algorithms, strategies and …
Ensemble mutation-driven salp swarm algorithm with restart mechanism: Framework and fundamental analysis
This research proposes a reinforced salp swarm algorithm (SSA) variant with an ensemble
mutation strategy and a restart mechanism, which is named CMSRSSSA for short, to …
mutation strategy and a restart mechanism, which is named CMSRSSSA for short, to …
An optimized deep network representation of multimutation differential evolution and its application in seismic inversion
Seismic inversion problems are well-known to be nonlinear and their misfit functions often
involve many local minima. Global optimization methods are capable of converging to the …
involve many local minima. Global optimization methods are capable of converging to the …
Differential evolution with the mutation strategy transformation based on a quartile for numerical optimization
Differential evolution (DE) is an evolutionary algorithm that is straightforward but effective
and has been satisfactorily implemented in a variety of fields. However, the DE relies heavily …
and has been satisfactorily implemented in a variety of fields. However, the DE relies heavily …
A neuroevolutionary approach to controlling traffic signals based on data from sensor network
The paper introduces an artificial neural network ensemble for decentralized control of traffic
signals based on data from sensor network. According to the decentralized approach, traffic …
signals based on data from sensor network. According to the decentralized approach, traffic …
A general intelligent optimization algorithm combination framework with application in economic load dispatch problems
J Zhang, Z Dong - Energies, 2019 - mdpi.com
Recently, a population-based intelligent optimization algorithm research has been
combined with multiple algorithms or algorithm components in order to improve the …
combined with multiple algorithms or algorithm components in order to improve the …