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

Traditional estimation of distribution algorithms (EDAs) often use Gaussian densities to
optimize continuous functions, such as the estimation of Gaussian network algorithms …

As a representative evolutionary algorithm based on probabilistic models, the estimation of
distribution algorithm (EDA) is widely applied in complex continuous optimization problems …

A two-phase constraint-handling technique is integrated into the evolutionary algorithms to
solve constrained optimization problems (called TPDE) in this article. In phase one, denoted …

Space missions with low-thrust propulsion systems are of appreciable interest to space
agencies because of their practicality due to higher specific impulses. This research …

In this paper, a direct approach is developed for discovering optimal transfer trajectories of
close-range rendezvous of satellites considering disturbances in elliptical orbits. The control …

One particular kind of evolutionary algorithms known as Estimation of Distribution Algorithms
(EDAs) has gained the attention of the aerospace industry for its ability to solve nonlinear …

A direct adaptive scheme is presented as an alternative approach for minimum-fuel low-
thrust trajectory design in non-coplanar orbit transfers using fitness landscape analysis …

When solving constrained optimization problems by constraint-handling techniques, the
core idea is to balance constraint violation and objective function during the search process …