The time-domain reflectometry (TDR) method is based on the analysis of dielectrics'
behavior in time-varying electric field which can be utilized in the determination of …

This paper introduces a novel memetic algorithm namely Fractional Particle Swarm
Optimization-based Memetic Algorithm (FPSOMA) to solve optimization problem using …

Inspired by the collective behavior of fish schools, the fish school search (FSS) algorithm is a
technique for finding globally optimal solutions. The algorithm is characterized by its …

In this paper, a method to characterize buried nonmagnetic objects in ground using ultra-
wideband (UWB) ground penetrating radar (GPR) is proposed. In this method, UWB pulses …

This chapter deals with the vector network analyzer systems used for the study of the
electromagnetic properties of materials. The focus of the chapter is not the device itself …

Mass discharging rate (MDR) is a critical aspect of hopper's performance in bulk solids
handling. A shape optimization method is established in this study to increase the MDR of …

Simulation-based optimization using agent-based models is typically carried out under the
assumption that the gradient describing the sensitivity of the simulation output to the input …

Tunnel construction with tunnel boring machi-nes (TBMs) is frequently hampered by hidden
complexities in the tunnel face. This article investigates the feasibility of utilizing impulse …

Heuristic and deterministic optimization methods are extensively applied for the training of
artificial neural networks. Both of these methods have their own advantages and …

The lack of dielectric properties data has often been named as one of the reasons that has
hampered the simulation of microwave processing of biomass feedstock and process …