Inspired by the search mechanism of the Rapidly-exploring Random Trees (RRT) algorithm commonly used in robot path planning, we propose a novel metaheuristic algorithm called RRT-based Optimizer (RRTO ...

This work aims to improve the droop controller based on optimized PI controller parameters to control the frequency and voltage of microgrids under various conditions by using three metaheuristic ...

In this research, the authors investigated the optimization of trusses performing a geometric nonlinear analysis under dynamic loading, using two different metaheuristic algorithms: the Genetic ...

The common shortcoming of most metaheuristic algorithms is that if some parameters are set improperly, the desired results will not be obtained. Another disadvantage is that the metaheuristic ...

This project addresses the optimization of disaster relief goods distribution and transportation using a mathematical model and metaheuristic algorithms. The goal of this work is to minimize the total ...

Accurate estimation of the State of Charge (SoC) in lithium-ion batteries is a pivotal factor for optimizing the performance, ...

Instead of defaulting to the notifications on my phone, poetry has inspired me to begin the day in a different way. By Charley Locke Most mornings, as soon as I wake up, I feel the pull of my ...

Below we have compiled a full list of Google algorithm launches, updates, and refreshes that have rolled out over the years, as well as links to resources for SEO professionals who want to ...

Dig deeper: Niccol is also cutting items from Starbucks' menu and experimenting with its ordering algorithms to better handle its mix of mobile, drive-thru and in-store orders. Headcount ...

Algorithmic trading, also known as algo trading, occurs when computer algorithms -- not humans -- execute trades based on pre-determined rules. Think of it as a team of automated trading systems ...