Memetic Algorithms (MAs) are computational intelligence structures combining multiple and
various operators in order to address optimization problems. The combination and …

The performance of the well-known particle swarm optimization (PSO) method can be
improved by minimizing the possibility of premature convergence in a local minimum. We …

Economic dispatch (ED) plays an important role in power system operation. ED problem is a
non-smooth and non-convex problem when valve-point effects of generation units are taken …

Renewable energy is energy that is in continuous supply over time. These kinds of energy
sources are divided into five principal renewable sources of energy: the sun, the wind …

The linear form of the Muskingum model has been widely applied to river flood routing.
However, a nonlinear relationship between weighted-flow and storage volume exists in most …

In developing countries, the exploitation of renewable sources is an opportunity to increase
the number of people who have simple access to electricity and to water. Among other …

The main goal of supply chain management is to coordinate and collaborate the supply
chain partners seamlessly. On the other hand, bi-level linear programming is a technique for …

Energy conversion efficiency is one of the most important features of power systems as it
greatly influences the economic balance. The efficiency can be increased in many ways …

This paper presents a novel two-stage hybrid swarm intelligence optimization algorithm
called GA–PSO–ACO algorithm that combines the evolution ideas of the genetic algorithms …

The increasing attention to comfort, automation and drivability is pushing the driveline
technology to ever complex solutions, such as power-shift or continuously variable …