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A Self-Cooling Simulated Annealing (SCSA) algorithm is introduced for the optimization of nonlinear least-squares problems. In contrast to conventional simulated annealing techniques that require a predefined cooling sch...

High-performance liquid chromatography (HPLC) and UV–vis spectrophotometry are indispensable techniques in pharmaceutical and food analysis, yet students often struggle to connect theoretical principles with real-world...

Super-resolution optical microscopy, which gives access to finer details of objects, is highly desired for fields of nanomaterial, nanobiology, nanophotonics, etc. Many efforts, including tip optimization and illuminatio...

Abstract Conventional coherent light-field manipulation techniques inherently conflict with the spatiotemporal incoherence of thermal radiation sources. While recent advances in thermophotonics have facilitated direction...

This paper proposes a hybrid particle swarm approach called Simple Multi-Objective Particle Swarm Optimizer (SMOPSO) which incorporates Pareto dominance, an elitist policy, and two techniques to maintain diversity: a mut...

In this paper, we solve some benchmarks of Set Covering Problem and Equality Constrained Set Covering or Set Partitioning Problem. The resolution techniques used to solve them were Ant Colony Optimization algorithms and ...

"The steel industry faces increasing challenges in managing product diversity, maintaining competitiveness, and improving operational efficiency. Within this context, recommendation systems present a promising opportunit...

Abstract. Stochastic techniques have demonstrated rewarding performance in global optimization of highly multimodal unconstrained models. However, the formulation of a general framework for constraint handling in stochas...

Swarm intelligence is a relatively new approach to problem solving that takes inspiration from the social behaviors of insects and of other animals. In particular, ants have inspired a number of methods and techniques am...

Convex optimization problems arise frequently in many different fields. This book provides a comprehensive introduction to the subject, and shows in detail how such problems can be solved numerically with great efficienc...

El Aprendizaje por Refuerzo (RL) se ha convertido en una herramienta crucial para alinear modelos generativos complejos, superando las limitaciones de los métodos de aprendizaje supervisado tradicionales. Su capacidad p...

Over the past few years, a continually increasing number of research efforts have investigated the application of evolutionary computation techniques for the solution of scheduling problems. Scheduling problems can pose...

A variety of optimization problems in fields such as production operations in manufacturing industry, parallel and distributed systems, logistics and traffic can be summarized within the general class of scheduling probl...

Two powerful metaheuristics being used successfully since their creation for the resolution of optimization problems are Cellular Genetic Algorithm (cGA) and Particle Swam Optimization (PSO). Over the last years, interes...

Evolutionary computation techniques, genetic algorithms, evolutionary strategies and genetic programming are motivated by the evolution of nature. A population of individuals, which encode the problem solutions are manip...

En la presente revisión analizamos una serie de publicaciones referidas a las técnicas utilizadas para el estudio de transferencia de fármacos, deteniéndonos en aquellas que emplean modelos in vitro e in situ. Dichas...

Evolutionary Computation is an emergent field, which provides new heuristics to function optimization where traditional approaches make the problem computationally intractable. Exploration and exploitation of solution i...

Multimodal optimization is an always present topic in Computer Systems and Networks design and implementation. - Evolutionary Computation is an emergent field which provides new heuristics to function optimization where ...

This work presents a systematic literature review on the application of Machine Learning algorithms in the development of effective movie recommender systems. With the increasing popularity of movie recommender systems i...

El control del ruido en ambientes industriales se ha convertido en una actividad profesional de creciente importancia. En muchos casos, las soluciones técnicas involucradas poseen un alto costo, motivo por el cual se ...

"La finalidad de este proyecto es realizar una evaluación económica y financiera sobre la conveniencia de construir viviendas sociales energéticamente, sustentables que signifiquen una inversión mayor, en comparació...

La producción sustentable de biodiesel requiere la optimización del consumo de agua. Este es un factor clave que debe tenerse en cuenta en la etapa de diseño y en la operación de las plantas. El impacto ambiental y ...

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...

1 Introduction 1.1 What is Data Mining? 1.2 Motivating Challenges 1.3 The Origins of Data Mining 1.4 Data Mining Tasks 1.5 Scope and Organization of the Book 1.6 Bibliographic Notes 1.7 Exercises 2 Data 2.1 Types of Data...