This article is based on the application of heuristic algorithms to solve the optimum solution for a VLSI circuit. The idea is to find the optimum layout for a 2-to-1 multiplexer with minimal average power. The objective function is the average power of 2:1 MUX with four MOSFETs with different channel widths. They make a four dimensional space which is searched by search agents of algorithm. Mo...

In this paper, an optimal design of a microgrid including four houses in Dakhla city (Morocco) is proposed. To make study comprehensive and applicable to any hybrid system, each house has different configuration renewable energies. The configurations these are PV/wind turbine (WT)/biomass/battery, PV/biomass, PV/diesel/battery, WT/diesel/battery systems. comparison factor among the cost energy ...

This paper proposes the application of differential evolution (DE) algorithm for the optimal tuning of proportional-integral (PI) controller designed to improve the small signal dynamic response of a stand-alone solid oxide fuel cell (SOFC) system. The small signal model of the study system is derived and considered for the controller design as the target here is to track small variations in SO...

Providing appropriate home health care is one of the increasing concerns in organizations. Home Health Care provides various services for disabled or elderly individuals at their homes. Also, deal with current critical situation coronavirus disease (COVID-19) due to limited capacity hospitals and feeling insecurity crowded places, more recommended. This paper addresses a Routing Scheduling Prob...

As a very powerful optimization algorithm, invasive weed optimization has been widely applied to continuous optimization problems in electromagnetic (EM) field. However, the optimization of a thinned array can be formulated as a discrete-variable optimization problem with solutions encoded as binary strings. Therefore, in this paper, an improved binary invasive weed optimization (IBIWO) is prop...

In this paper, two evolutionary algorithmsInvasive Weed Optimization (IWO) based power system stabilizer (PSS) and particle swarm optimization (PSO) based power system stabilizer is designed for multi-machine power system to compare their tuning performances. IWO is a derivative-free real parameter optimization technique that mimics the ecological behavior of colonizing weeds. PSO is also a der...

Multimodal optimization is used to find multiple global & local optima which is very useful in many real world optimization problems. But often evolutionary algorithms fail to locate multiple optima as required by the system. Also they fail to store those optima by themselves. So we have to use other selection scheme that can detect & store multiple optima along with evolutionary algorithms. He...

Evolutionary algorithms have been recognized to be suitable for extracting approximate solutions of multi-objective problems because of their capability to evolve a set of non-dominated solutions distributed along the Pareto frontier‎. ‎This paper applies an evolutionary optimization scheme‎, ‎inspired by Multi-objective Invasive Weed Optimization (MOIWO) and Non-dominated Sorting (NS) strategi...

Proper irrigation scheduling and agricultural water management require a precise estimation of crop requirement. In practice, reference evapotranspiration (ETo) is firstly estimated, used further to calculate the each crop. this study, two new coupled models were developed for estimating daily ETo. Two optimization algorithms, shuffled frog-leaping algorithm (SFLA) invasive weed (IWO), on an ad...