This article presents a methodology for a multi-objective optimal allocation of multi-type
distributed generators in radial distribution networks based on a backtracking search …

Metaheuristics can be used to solve optimization complex problems because they offer
approximate and acceptable solutions. In recent years, nature has been a source of …

Location-based services (LBS) have long been recognized as a significant component of the
emerging information services. However, the localization cost and the performance of …

In a wireless sensors network in general, and a swarm of robots in particular, solving the
localization problem consists of discovering the sensor's or robot's positions without the use …

In the trend of Industry 4.0 development, the big data of system operation is significant for
analyzing, predicting, or identifying any possible problem. This study proposes a new …

Casualties and damages from earthquakes, which cannot be predicted, occur too often.
Effective engineering of buildings using seismic‐resistant design is the primary method of …

The backtracking search algorithm (BSA) was recently developed. It is an evolutionary
algorithm for real-valued optimization problems. The main feature of BSA vis-à-vis other …

Research in the field of bistatic radars have growing interest with exclusive importance in
defence sector, aerospace industry, remote sensing, meteorological and navigation …

This paper proposes a new numerical procedure, based on an evolutionary optimization
algorithm, for the simultaneous generation of the three components of the seismic ground …

Despite the significance of the Robotic Darwinian Particle Swarm Optimization (RDPSO)
algorithm on swarm-robot exploration and communication, there remain notable gaps such …