The artificial electric field algorithm (AEFA) is a population-based metaheuristic optimization
algorithm. It is inspired by the electrostatic field theory and fundamental laws of physics. The …

Given the intermittency and randomness of wind energy, the mass grid connection of wind
power poses great challenges in power system and increases the threat in power system …

The state transition algorithm (STA) has been emerging as a novel metaheuristic method for
global optimization over the past few years. In our previous study, the parameter of …

In this study, we consider the multiple traveling salesman problem (MTSP) with multiple
depots, closed paths, and a constraint on the number of cities visited by each traveling …

A simulated annealing (SA) algorithm is an effective method for solving optimization
problems, especially for combinatorial optimization problems. However, SA algorithms rely …

The multiple traveling salesman problem (MTSP) is an extension of the traveling salesman
problem (TSP). It is found that the MTSP problem on a three-dimensional sphere has more …

Thresholding plays an important role in image segmentation and image analysis. In this
paper, the normalized histogram of an image is fitted by a linear combined normal …

A recently new intelligent optimization algorithm called discrete state transition algorithm is
considered in this study, for solving unconstrained integer optimization problems. Firstly …

By transforming identification and control for nonlinear system into optimization problems, a
novel optimization method named state transition algorithm (STA) is introduced to solve the …

The accuracy of wind power prediction is important for assessing the security and economy
of the system operation when wind power connects to the grids. However, multiple factors …