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Gleice Kelly Barbosa Souza, Samara Oliveira Silva Santos, André Luiz Carvalho Ottoni, Marcos Santos Oliveira, Daniela Carine Ramires Oliveira and Erivelton Geraldo Nepomuceno
Reinforcement learning is an important technique in various fields, particularly in automated machine learning for reinforcement learning (AutoRL). The integration of transfer learning (TL) with AutoRL in combinatorial optimization is an area that requir...
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Thiago Poleto, Thyago Celso Cavalcante Nepomuceno, Victor Diogho Heuer de Carvalho, Ligiane Cristina Braga de Oliveira Friaes, Rodrigo Cleiton Paiva de Oliveira and Ciro José Jardim Figueiredo
This paper aims to analyze the intellectual structure and research fronts in application information security in smart cities to identify research boundaries, trends, and new opportunities in the area. It applies bibliometric analyses to identify the mai...
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Dmitriy Pesterev, Olga Druzhina, Alexander Pchelintsev, Erivelton Nepomuceno and Denis Butusov
A composition is a powerful tool for obtaining new numerical methods for solving differential equations. Composition ODE solvers are usually based on single-step basic methods applied with a certain set of step coefficients. However, multistep compositio...
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José Victor Sá Santos and Napoleão Nepomuceno
The Cutting Stock Problem (CSP) is an optimisation problem that roughly consists of cutting large objects in order to produce small items. The computational effort for solving this problem is largely affected by the number of cutting patterns. In this ar...
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Thiago Poleto, Thyago Celso Cavalcante Nepomuceno, Victor Diogho Heuer de Carvalho and Ana Paula Cabral Seixas Costa
This paper proposes a strategic behavior categorization between the contractor and the provider in information technology (IT) outsourcing. We identified four behaviors (or attitudes) focusing specifically on the contractors? attitudes: (a) conservative,...
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Bruno Ferreira da Costa Borba, Ana Paula Henriques de Gusmão, Thárcylla Rebecca Negreiros Clemente and Thyago Celso Cavalcante Nepomuceno
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Jonathan Mwaura, Andries P. Engelbrecht and Filipe V. Nepomuceno
Multimodal problems are single objective optimisation problems with multiple local and global optima. The objective of multimodal optimisation is to locate all or most of the optima. Niching algorithms are the techniques utilised to locate these optima. ...
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Belén Vega-Márquez, Cristina Rubio-Escudero, Isabel A. Nepomuceno-Chamorro and Ángel Arcos-Vargas
The importance of electricity in people?s daily lives has made it an indispensable commodity in society. In electricity market, the price of electricity is the most important factor for each of those involved in it, therefore, the prediction of the elect...
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Bonfim Amaro Junior, Marcio Costa Santos, Guilherme Nepomuceno de Carvalho, Luiz Jonatã Pires de Araújo and Placido Rogerio Pinheiro
The problem of efficiently cutting smaller two-dimensional pieces from a larger surface is recurrent in several manufacturing settings. This problem belongs to the domain of cutting and packing (C&P) problems. This study approached a category of C&am...
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Napoleão Nepomuceno, Ricardo Barboza Saboia and Plácido Rogério Pinheiro
In the vehicle routing problem with simultaneous pickup and delivery (VRPSPD), customers demanding both delivery and pickup operations have to be visited once by a single vehicle. In this work, we propose a fast randomized algorithm using a nearest neigh...
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