Air combat simulation systems (ACSSs) are developed to train fighter pilots (trainees) in a virtual combat environment. In general, an ACSS consists of the following stages: planning the scenario, training, flight analysis, ...

This paper presents a solution technique for the optimal reactive power flow (ORPF) of alternating current direct current (AC-DC) power systems using the artificial bee colony (ABC) algorithm. A high voltage direct current ...

Cancer is the leading life-threatening disease for people in today's world. Although cancer formation is different for each type of cancer, it has been determined by studies and research that stress also triggers cancer ...

Object-oriented metrics aim to exhibit the quality of source code and give insight to it quantitatively. Each metric assesses the code from a different aspect. There is a relationship between the quality level and the risk ...

This paper presents a solution technique for optimal power flow (OPF) of high-voltage direct current (HVDC) power systems using a backtracking search algorithm (BSA). BSA is a population-based evolutionary algorithm (EA), ...

Optimal power flow (OPF) is one of the known problems of the power systems. Many numerical and heuristic methods were used to solve this problem so far. As seen from these studies in literature, heuristic methods are more ...

This paper is devoted to the development of a neural network structure which implements the line,power flow state estimator algorithm for solving the set of nonlinear equations of power system automatic generation control ...

In the study multi objective optimum power flow problem is solved through chaotic artificial bee colony algorithm. For the solution of the problem both chaos theory and artificial algorithm are utilized together. Until ...

In this paper, a sequential transient stability analysis of an integrated AC-DC power system consisting of bipolar MTDC is accomplished by taking into account the variation of the amplitude of the bus voltages during ...