To better regulate the speed of brushless DC motors, an improved algorithm based on original Glowworm Swarm Optimization is proposed. The proposed solves problems poor robustness, slow convergence, and low accuracy exhibited by traditional PID controllers. When selecting glowworm neighborhood set, optimization scheme growth competition behavior weeds applied to a single prevent falling into loc...

In this paper, the state estimation (SE) problem is formulated as a general nonlinear programming problem with equality constraints and boundary limits on the state variables. The objective of this paper is to incorporate the Unified Power Flow Controller (UPFC) into the SE algorithm. UPFC has the potential to independently control the voltage, active and reactive power flows in the system. In ...

Highly multimodal function optimization is similar to many other optimization problems requiring many iterations and large number of function evaluations. Glowworm Swarm Optimization (GSO) is one of the common swarm intelligence algorithms, where GSO has the ability to optimize multimodal functions efficiently. Locating the peaks of a high-dimensional multimodal function requires a large popula...

Software defect prediction has turned into an expected requirement for organizations to guarantee quality and reliability of software products. The early defect prediction can encourage managers to amend and improve reliability of product. Methodologies, for example, machine learning and neural network have ended up as eminent solution for training and classification of data and can be importan...

Nowadays, the rapidly developing science of services focuses on service management, which has to take into account the available resources and the user's wishes concerning the desired quality and costs. Quality of Service (QoS) management is perceived as a special aspect of distributed systems management in WSN. Providing QoS aware routing is a challenging task in this type of network due to dy...