Wireless Sensor Network (WSN) refers to a network of devices that can communicate the information gathered from a monitored field through wireless links. As a critical technology of WSN, the localization algorithm plays a ...

Bat Algorithm (BA) is one of the fundamental algorithms for solving optimization problems. However, the BA still exists weaknesses in terms of exploitation and exploration. In this paper, an enhancing capability of exploration ...

Data security has got many remarkable achievements. However, the issues of the lower distortion and the higher embedding capacity in the embedded secret data in media have not much been considered by scholars. This paper ...

This paper presents a new approach for dispatch generating powers of thermal plants based on ion motion optimization algorithm (IMA). Electrical power systems are determined by optimization in power balancing, transporting ...

This paper suggests a new solution to conceal textmessages inmedia by hybridizing a meta-heuristic algorithm of the Gravity search algorithm (GSA) and transposition method. Several stages are implemented, namely the ...

The transportation cost, running vehicle time, duration, and distance cost, the route network of revealed urban vehicles, are considered to need to be analyzed meaningfully and reasonably planned. This paper suggests an ...

This paper suggests a solution for the image segmentation(IS) problem with the multilevel thresholding based on one of the latest hybrid swarm computation optimization algorithms, particle swarms, and gravitational search ...

This research employs qualitative, quantitative research tools and descriptive analysis with the relevant current media and data offered by Vietnamese authorities to examine the effects of Covid-19 pandemic to Vietnam’s ...

Node location is a critical demand in some popularity of Wireless sensor network (WSN) applications. This paper proposes a node location identification in WSN based on a combined Ant Lion Optimizer (ALO) with a typical ...

This paper proposes a solution to the power grid system's reactive power optimization scheduling problem (RPSP) based on a novel Manta ray forging algorithm (MRFO) evolutionary algorithm. By applying the penalty function ...