Efficient and cost-effective coordination of online generation facilities is essential to the
reliable operation multi-area power system (PS) especially in a deregulated environment …

In the crowded environment of bio-inspired population-based metaheuristics, the Salp
Swarm Optimization (SSO) algorithm recently appeared and immediately gained a lot of …

Jaya algorithm (JAYA) is a new metaheuristic algorithm, which has a very simple structure
and only requires population size and terminal condition for optimization. Given the two …

With the development of urban and rural infrastructure, the power system is enforced to
operate nearly at its full capacity which result in heavily stressed power grid operation …

Coke price prediction is critical for smart coking plants to make sensible production plan.
The prediction of coke price fluctuations is a time-series problem, and gated recurrent unit …

Multiple classifier system exhibits strong classification capacity compared with single
classifiers, but they require significant computational resources. Selective ensemble system …

This article represents a brief study on popular bio-inspired meta-heuristic optimization
methods and their applications. These methods, which imitate biological phenomena or …

The management of renewable-powered smart grids deals with nonlinear optimization
problems featuring a variety of linear or nonlinear constraints, discrete or continuous …

Feature selection (FS) is one of the most critical tasks in data mining, which aims to reduce
the dimensionality of the data and maximize classification accuracy. The FS problem can be …

Nuclear reactor fuel reloading optimization is a hot issue in the field of nuclear engineering.
With the reasonable rearrangement of fuel assemblies in a reactor core, the nuclear fuel …