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Dive into the research topics where Natalia Stark is active.

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Featured researches published by Natalia Stark.


Inteligencia Artificial,revista Iberoamericana De Inteligencia Artificial | 2010

Comparison of Recombination Operators in Panmictic and Cellular GAs to Solve a Vehicle Routing Problem

Carlos Bermúdez; Patricia Graglia; Natalia Stark; Carolina Salto; Hugo Alfonso

The Vehicle Routing Problem (VRP) deals with the assignment of a set of transportation orders to a fleet of vehicles, and the sequencing of stops for each vehicle to minimize transportation costs. In this paper we study the Capacitated VRP (CVRP), which is mainly characterized by using vehicles of the same capacity. Taking a basic GA to solve the CVRP, we propose a new problem dependent recombination operator, called Best Route Better Adjustment recombination (BRBAX). A comparison of its performance is carried out with respect to other two classical recombination operators. Also we conduct a study of different mutations in order to determine the best combination of genetic operators for this problem. The results show that the use of our specialized BRBAX recombination outperforms the others more generic on all problem instances used in this work for all the metrics tested.


XIV Congreso Argentino de Ciencias de la Computación | 2008

A comparison of recombination operators for capacitate vehicle routing problem

Patricia Graglia; Natalia Stark; Hugo Alfonso; Carolina Salto


XVIII Congreso Argentino de Ciencias de la Computación | 2013

Algoritmo evolutivo para el problema de planificación en proyectos de desarrollo de software

Germán Dupuy; Natalia Stark; Carolina Salto


XVIII Congreso Argentino de Ciencias de la Computación | 2012

A new strategy for adapting the mutation probability in genetic algorithms

Natalia Stark; Gabriela F. Minetti; Carolina Salto


VII Congreso Argentino de Ciencias de la Computación | 2001

Contrasting two MCMP alternatives in evolutionary algorithms to solve the job shop scheduling problem

Natalia Stark; Carolina Salto; Hugo Alfonso; Raúl Hector Gallard


XIX Workshop de Investigadores en Ciencias de la Computación (WICC 2017, ITBA, Buenos Aires) | 2017

Problemas complejos resueltos con metaheurísticas

Germán Dupuy; Eber Bezzone; Juan José Barbero; Natalia Stark; Fernando Sanz Troiani; Hugo Alfonso; Carlos Bermúdez; Carolina Salto; Gabriela F. Minetti


XXII Congreso Argentino de Ciencias de la Computación (CACIC 2016). | 2016

Comparison of Different Approaches for Adapting Mutation Probabilities in Genetic Algorithms

Natalia Stark; Gabriela F. Minetti; Carolina Salto


XVIII Workshop de Investigadores en Ciencias de la Computación (WICC 2016, Entre Ríos, Argentina) | 2016

Algoritmos genéticos distribuidos: heterogeneidad y migración

Germán Dupuy; Natalia Stark; Fernando Sanz Troiani; Hugo Alfonso; Carlos Bermúdez; Carolina Salto; Gabriela F. Minetti


XVII Workshop de Investigadores en Ciencias de la Computación (Salta, 2015) | 2015

Métodos metaheurísticos aplicados a procesos de gestión en una empresa

Germán Dupuy; Natalia Stark; Cintia Ayala; Fernando Sanz Troiani; Hugo Alfonso; Gabriela F. Minetti; Carolina Salto


XVI Workshop de Investigadores en Ciencias de la Computación | 2014

Adaptación de técnicas metaheurísticas a diferentes escenarios

Germán Dupuy; Natalia Stark; Fernando Sanz Troiani; Hugo Alfonso; Gabriela F. Minetti; Carolina Salto

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Carolina Salto

National University of La Pampa

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Hugo Alfonso

National University of La Pampa

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Gabriela F. Minetti

National University of La Pampa

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Luis Alberto Gago

National University of La Pampa

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Martín H. Echeverria

National University of La Pampa

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