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Abstract The present work aims at the application of different optimization strategies in the electromagnetic analysis of the Variable Reluctance Motor (VRM) through Finite Element (FE) simulation. Two case studies are i...

Abstract There are several techniques for optimization of Frequency Selective Surfaces (FSS). Generally, in literature, we can find a few articles about the Taguchi's method applied in electromagnetic. This method is bas...

Abstract Against the backdrop of urgent demand for efficient scheduling and precise services in university innovation and entrepreneurship ecosystems, this study proposes an optimization path for ecosystem construction i...

Line breeding programs of autogamous crops like barley and wheat are characterized by multiple crosses with high variability in cross means and segregation variances. From theory of order statistics, we derived formulas ...

Liquid air energy storage (LAES) systems are a promising technology for storing electricity due to their high energy density and lack of geographic constraints. However, some LAES systems still have relatively low round-...

This work proposes a numerical procedure to simulate and optimize the thermal response of a multilayered wallboard system for building envelopes, where each layer can be possibly made of Phase Change Materials (PCM)-base...

Abstract To solve the problem of poor effectiveness and efficiency in traditional urban and rural planning layout optimization methods, an innovative urban and rural planning layout optimization method combining ant colo...

Abstract Under the influence of crosswinds, the running safety of trains will decrease sharply, so it is necessary to optimize the suspension parameters of trains. This paper studies the dynamic performance of high-speed...

Abstract There are lots of researches on fixture layout optimization for large thin-walled parts. Current researches focus on the positioning problem, i.e., optimizing the positions of a constant number of fixtures. Howe...

The present work was undertaken to optimize critical parameters (ethanol concentration, time and temperature) for antioxidant extraction from lettuce leaves, measured through DPPH radical scavenging activity (DRSA) and t...

Fachgebiete / Stichwörter: Computers; Artificial Intelligence; General

Fachgebiete / Stichwörter: Ordenadores; General

INTRODUCTION: With the rapid growth of offshore wind power integration and increasing wind power penetration, accurate power forecasting has become essential for maintaining grid stability and supporting economic dispatc...

Deep learning (DL) has emerged as a promising tool for photonic inverse design. Nevertheless, despite the initial success in retrieving spectra of modest complexity with nearly instantaneous readout, DL-assisted design m...

Abstract Advances in AI have transformed the traditional Internet of Things (IoT) into smarter, more versatile next-generation devices. Enhanced connectivity among sensors, actuators, and appliances boosts data availabil...

Liquid Air Energy Storage offers several advantages over other energy storage systems, including high energy density, scalability, cost-competitiveness, and non-geographical constraints. This study develops a computation...

In this work, a topology optimization algorithm is developed and implemented to get an optimum composite patch shape. Typically, the design process consists of an iterative analysis, where the best solution is obtained f...

Abstract Background Optimization of biotechnological processes is traditionally limited by time-consuming trial-and-error approaches and the complexity of simultaneously optimizing multiple, often conflicting objectives....

Cloud computing environments face persistent structural challenges in cost control, dynamic resource allocation, and security risk management, which traditional infrastructure approaches fail to address adequately. This ...

In this article we present an algorithm for solving bound constrained optimization problems without derivatives based on Powell´s method [38] for derivative-free optimization. First we consider the unconstrained optimiz...

This study aims to improve the adaptability of vertical axis wind turbines (VAWTs) in urban wind fields and reduce the cost of 3-D optimization. It focuses on 2-D to 3-D optimization of J-shaped blades. The goal is to en...

Electric Discharge Machining (EDM) is a non-traditional machining process that utilizes electric sparks between an electrode and a workpiece submerged in a dielectric fluid to ablate a material. It is commonly used in di...

The effect of diffuser-enhanced flow on the energy extraction performance of hydrokinetic turbines is widely reported in the literature. In this context, this work combines automatic scripting for geometry construction a...

Nowadays, performing multi-objective optimizations of actual building designs is one of the most challenging problems of the building energy efficiency area. This paper aims to propose an efficient method to solve multi-...