Listar IIT por autor "0000-0001-5514-5061"
Mostrando ítems 21-31 de 31
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Metaheuristics for Order Picking Optimisation: A Comparison Among Three Swarm-Intelligence Algorithms
Rivera Zarate, Gilberto (Springer, 2021-07-21)Nowadays, the Order Picking Problem (OPP) represents the most costly and time-consuming operation of warehouse management, with an average ranging from 50 to 75% of the total warehouse management cost. So, OPP is being ... -
Mispronunciation Detection and Diagnosis Through a Chatbot
Lopez Orozco, Francisco; Olmos Sanchez, Karla Miroslava; Sánchez Solís, Julia Patricia; Martinez Quezada, Marcos Eduardo (IGI GLOBAL, 2020-10-01)The interaction between humans and machines has evolved; thus, the idea of being able to communicate with computers as we usually do with other people is becoming increasingly closer to coming true. Nowadays, it is common ... -
News Classification for Identifying Traffic Incident Points in a Spanish-Speaking Country: A Real-World Case Study of Class Imbalance Learning
Rivera Zarate, Gilberto (2020-09-09)‘El Diario de Juárez’ is a local newspaper in a city of 1.5 million Spanish-speaking inhabitants that publishes texts of which citizens read them on both a website and an RSS (Really Simple Syndication) service. This ... -
On the Order Picking Policies in Warehouses: Algorithms and their Behavior
Rivera Zarate, Gilberto (Taylor & Francis, 2021-07-21)This chapter explores the relationship among different routing policies for order picking and the features of the problem (describing both warehouse layout and orders), the results obtained by simulation show that some ... -
Online multi-criteria portfolio analysis through compromise programming models built on the underlying principles of fuzzy outranking
Rivera Zarate, Gilberto (2021-08-27)This paper introduces an interactive approach to support multi-criteria decision analysis of project portfolios. In high-scale strategic decision domains, scientific studies suggest that the Decision Maker (DM) can find ... -
Outranking-based multi-objective PSO for scheduling unrelated parallel machines with a freight industry-oriented application
Rivera Zarate, Gilberto (2021-12-08)This paper presents Outranking-based Particle Swarm Optimisation (O-PSO) a novel metaheuristic to address the multi-objective Unrelated Parallel Machine Scheduling Problem. It is a particle swarm optimisation algorithm ... -
Predicción del éxito de proyectos de videojuegos en Kickstarter con aprendizaje automático
García, Vicente; Rivera Zarate, Gilberto; Florencia, Rogelio; Sánchez Solís, Julia Patricia; Ochoa, Alberto; 137778; Nevarez-Castellanos, Salvador (2020-08-01)Kickstarter se ha convertido en el principal medio de financiamiento para proyectos de desarrolladores independientes. En esta plataforma se han subvencionado exitosamente alrededor de 2,500 proyectos de videojuegos. Aún ... -
Predicting airline customer satisfaction using k-nn ensemble regression models
García, Vicente (2019)Customer satisfaction questionnaires are a rich and strong source of information for companies to seek loyalty, customer and client retention, opti- mize resources, and repurchase products. Several advanced machine learning ... -
Project portfolio selection with scheduling: an evolutionary approach
Martínez-Vega, Daniel (2019)This paper addresses the project portfolio selection problem enriched with scheduling. Thefactors considered for project scheduling are: the planning time horizon and the negative impact of theproject completion time on ... -
Two New Challenging Resources to Evaluate Natural Language Interfaces to Databases Generated Based on Geobase and Geoquery
Sánchez Solís, Julia Patricia; González-Barbosa, Juan Javier; Solís, Juan Frausto; Sánchez-Hernández, Juan Paulo (IGI Global, 2020-10-01)Databases and corpora are essential resources to evaluate the performance of Natural Language Interfaces to Databases (NLIDB). The Geobase database and the Geoquery corpus (Geoquery250 and Geoquery880) are among the most ...