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Abstract Aiming at the problems of easy settlement and insufficient durability of traditional materials under special backfilling conditions in the northwest loess area, this study prepared controllable low-strength read...

Abstract High-end equipment always operate in low-speed and heavy-load working environments, highlighting the need for cam-lobe hydraulic motors with excellent speed stability (< 1 r/min) and ultrahigh-power rotary outpu...

Abstract The primary characteristics of an electric drive include the ability to utilize the maximum torque throughout the speed range, minimal reliance on parameters, and, if feasible, the highest efficiency. This paper...

The differences between the concepts of “tax planning”, “tax minimization” and “tax optimization” are investigated and it is established that tax minimization is the maximum reduction of all taxes, tax optimi...

The high population growth rate, the accelerated industrialization and unpredictability of oil prices in the world have considerably raised the energy demand which has enhanced the necessity of alternative and sustainabl...

The aim of this work is to create the scientific foundations of microwave extractors implementing the effect of mechanodiffusion discovered by the authors, as well as visual, kinetic, and energy substantiation of the fun...

Introduction. Nowadays, the most widely used wind energy conversion system in wind farms is based on a doubly fed induction generator (DFIG); it has a large speed range and can function in multiple modes. Problem. Harmon...

A wall jet is a typical flow field encountered in various engineering fields, including the deviation tunnels, the bottom outlets of dams, and wastewater treatment. Appropriate prediction of wall jet characteristics is h...

Abstract While multi-access edge computing (MEC) enables flexible task offloading, the inherent dynamism and complexity of real-world environments, accompanied by various uncertainties, exacerbate the challenges in offlo...

Optimization methods are valuable for making decisions and identifying the most suitable alternative based on a given objective function. One of the mathematical optimization methods is Conjugate Gradient (CG) method whi...

Abstract In a previous study, ‘response surface methodology (RSM) using a fullest balanced model’ was proposed to improve the optimization of food processing when a standard second-order model has a significant lack ...

Abstract The noncircular synchronous belt drive mechanism has demonstrated certain achievements and has been used in special fields. Research regarding noncircular synchronous belt drive mechanisms has focused on optimiz...

Abstract Multi-level inverters (MLIs) are also used in relatively high-power systems; but the goals of low overall harmonic distortion (THD) and fewer power semiconductor devices remain a design issue of serious difficul...

The Ant Colony Optimization (ACO) metaheuristic is a bio-inspired approach for hard combinatorial optimization problems for stationary and non-stationary environments. In the ACO metaheuristic, a colony of artificial ant...

Actualmente, el meprobamato no es un fármaco de amplio espectro comercial. Con el objetivo de obtener una formulación farmacéutica óptima para este fármaco u otros más competitivos, la metodología de diseños expe...

La resolución de problemas de optimización es de gran interés en la actualidad y ha motivado el desarrollo de diversos métodos informáticos para tratar de resolverlos. La Optimización mediante Cúmulos de Partícu...

In this paper, we present a new model of an artificial immune system (AIS), based on the process that suffers the T-Cell, it is called T-Cell Model. It is used for solving constrained (numerical) optimization problems. T...

Designing complex, dynamic yet multi-functional materials and devices is challenging because the design spaces for these materials have numerous interdependent and often conflicting constraints. Taking inspiration from a...

The optimization of nonlinear functions using particle swarm methodology is described. Implementations of two paradigms are discussed and compared, including a recently developed locally oriented paradigm. Benchmark test...

Decomposition is a basic strategy in traditional multiobjective optimization. However, it has not yet been widely used in multiobjective evolutionary optimization. This paper proposes a multiobjective evolutionary algori...

Evolutionary algorithms (EAs) are often well-suited for optimization problems involving several, often conflicting objectives. Since 1985, various evolutionary approaches to multiobjective optimization have been develope...

Fil: Just, Brenda. Universidad Nacional de Quilmes; Argentina. Fil: Gutiérrez, Carla. Universidad Nacional de Quilmes; Argentina. Fil: Menegaz, Guillermo. Universidad Nacional de Quilmes; Argentina.

This paper presents a hybrid method to solve hard multiobjective problems. The proposed approach adopts an epsilon-constraint method which uses a Particle Swarm Optimizer to get points near of the true Pareto front. In t...

Previous article Next article An Algorithm for Least-Squares Estimation of Nonlinear ParametersDonald W. MarquardtDonald W. Marquardthttps://doi.org/10.1137/0111030PDFPDF PLUSBibTexSections ToolsAdd to favoritesExport Ci...