Recently, Micro Grids (MGs) have become extremely popular due to their advantages of effective power conversion and high transmission efficiency. The MG Nonlinear Loads (NL) are being incorporated into the electricity network. MGs connected by Voltage Source Converters (VSCs), NL infuses harmonics utility grid using devices. However, emergence stability problems in is caused nonlinear character...

In this article, multiple-product PVRP with pickup and delivery that is used widely in goods distribution or other service companies, especially by railways, was introduced. A mathematical formulation was provided for this problem. Each product had a set of vehicles which could carry the product and pickup and delivery could simultaneously occur. To solve the problem, two meta-heuristic methods...

Abstract Infinite impulse response (IIR) filter system recognition is a serious issue nowadays as it has many applications on diversity of platforms. The whale optimization algorithm (WOA) novel nature-motivated population-based meta-heuristic where the hunting techniques humpback whales are implemented to solve problems. But main disadvantage WOA its stagnant convergence rate. As population ba...

Since the beginning of time, humans have relied on plants for food, energy, and medicine. Plants are recognized by leaf, flower, or fruit linked to their suitable cluster. Classification methods used extract select traits that helpful in identifying a plant. In plant leaf image categorization, each is assigned label according its classification. The purpose classifying images enable farmers rec...

Mathematical models of biogeography inspired the development of the biogeography-based optimization algorithm. In this article we propose a binary version of biogeography-based optimization (BBO) for the Knapsack Problem. Two new mutation operators are proposed to extend the biogeography-based optimization algorithm to binary optimization problems. We also demonstrate the performance of the res...

Particle swarm optimization is an efficient population based algorithm used to solve real valued and nonlinear continuous optimization problems. To resolve binary optimization problems with PSO, binary particle swarm optimization (BPSO) has been developed. In this paper, optimum design of plates using BPSO is presented. The objective function aims at finding the optimum weight of plates with th...