35 documents found, page 1 of 4
A hybrid deep learning forecasting model using GPU disaggregated function evalu...
Coelho, Vitor Nazário; Coelho, Igor Machado; Rios, Eyder; Thiago Filho, Alexandre Magno de S.; Reis, Agnaldo José da Rocha; Coelho, Bruno NazárioAs the new generation of smart sensors is evolving towards high sampling acquisitions systems, the amount of information to be handled by learning algorithms has been increasing. The Graphics Processing Unit (GPU) architectures provide a greener alternative with low energy consumption for mining big-data, harnessing the power of thousands of processing cores in a single chip, opening a widely range of possible ...
A smart pool search matheuristic for solving a multi-objective microgrid storag...
Coelho, Vitor Nazário; Coelho, Igor Machado; Coelho, Bruno Nazário; Souza, Marcone Jamilson Freitas; Santos, Haroldo Gambini; Mladenovic, NenadIn this paper, a multi-objective power dispatching problem that uses Plug-in Electric Vehicle (PEV) as storage units is considered. The problem involves several PEVs and a microgrid community, composed of small houses, residential areas, and different Renewable Energy Resources. Three different objectives are considered: microgrid total costs; usage of PEV batteries and maximum grid peak load. In order to find ...
Metaheuristic ILS with path relinking for the number partitioning problem
Oliveira, Cesar Augusto Souza de; Ferreira, William de Paula; Mendes, Reinaldo Carlos; Assis, Gleisson de; Souza, Marcone Jamilson FreitasThis study brings an implementation of a metaheuristic procedure to solve the Number Partitioning Problem (NPP), which is a classic NP-hard combinatorial optimization problem. The presented problem has applications in different areas, such as: logistics, production and operations management, besides important relationships with other combinatorial problems. This paper aims to perform a comparative analysis betw...
A self-adaptive evolutionary fuzzy model for load forecasting problems on smart...
Coelho, Vitor Nazário; Coelho, Igor Machado; Coelho, Bruno Nazário; Reis, Agnaldo José da Rocha; Enayatifar, Rasul; Souza, Marcone Jamilson FreitasThe importance of load forecasting has been increasing lately and improving the use of energy resources remains a great challenge. The amount of data collected from Microgrid (MG) systems is growing while systems are becoming more sensitive, depending on small changes in the daily routine. The need for flexible and adaptive models has been increased for dealing with these problems. In this paper, a novel hybrid...
An ILS-based algorithm to solve a large-scale real heterogeneous fleet VRP with...
Coelho, Vitor Nazário; Grasas, A.; Ramalinho, H.; Coelho, Igor Machado; Souza, Marcone Jamilson Freitas; Cruz, Raphael CarlosDistribution planning is crucial for most companies since goods are rarely produced and consumed at the same place. Distribution costs, inaddition, can be an important component of the final cost of the products. In this paper, westudya VRP variant inspired on a real case of a large distribution company. In particular, we consider a VRP with a heterogeneous fleet of vehicles that a real lowed to perform multipl...
Multi-objective energy storage power dispatching using plug-in vehicles in a sm...
Coelho, Vitor Nazário; Coelho, Igor Machado; Coelho, Bruno Nazário; Cohen, Miri Weiss; Reis, Agnaldo José da Rocha; Silva, Sidelmo MagalhãesThis paper describes a multi-objective power dispatching problem that uses Plug-in Electric Vehicle (PEV) as storage units.We formulate the energy storage planning as a Mixed-Integer Linear Programming (MILP) problem, respecting PEV requirements, minimizing three different objectives and analyzing three different criteria. Two novel cost-to-variability indicators, based on Sharpe Ratio, are introduced for analy...
A hybrid heuristic algorithm for the open-pit-mining operational planning problem.
Souza, Marcone Jamilson Freitas; Coelho, Igor Machado; Ribas, Sabir; Santos, Haroldo Gambini; Merschmann, Luiz Henrique de CamposThis paper deals with the Open-Pit-Mining Operational Planning problem with dynamic truck allocation. The objective is to optimize mineral extraction in the mines by minimizing the number of mining trucks used to meet production goals and quality requirements. According to the literature, this problem is NPhard, so a heuristic strategy is justified. We present a hybrid algorithm that combines characteristics of...
Multi-objective metaheuristic algorithms for the resource-constrained project s...
Gomes, Helton Cristiano; Neves, Francisco de Assis das; Souza, Marcone Jamilson FreitasThis study addresses the resource-constrained project scheduling problem with precedence relations, and aims at minimizing two criteria: the makespan and the total weighted start time of the activities. To solve the problem, five multi-objective metaheuristic algorithms are analyzed, based on Multi-objective GRASP (MOG), Multi-objective Variable Neighborhood Search (MOVNS) and Pare to Iterated Local Search (PIL...
Uma heurística para o planejamento operacional de lavra com alocação dinâmica d...
Araújo, Francisco César Rodrigues de; Souza, Marcone Jamilson FreitasEsse trabalho trata do planejamento operacional de lavra em minas a céu aberto com alocação dinâmica de caminhões. Esse problema consiste em determinar o número de viagens que cada caminhão deve fazer a cada frente de lavra, bem como decidir em quais frentes de lavra alocar as carregadeiras, de sorte a atender as metas de produção e qualidade requeridas para o minério a ser produzido, fazendo o melhor aproveita...
GENVNS-TS-CL-PR: a heuristic approach for solving the vehicle routing problem w...
Cruz, Raphael Carlos; Silva, Thaís Cotta Barbosa da; Souza, Marcone Jamilson Freitas; Coelho, Vitor Nazário; Mine, Marcio TadayukiThis work addresses the Vehicle Routing Problem with Simultaneous Pickup and Delivery (VRPSPD). Due to its complexity, we propose a heuristic algorithm for solving it, so-called GENVNS-TS-CL-PR. This algorithm combines the heuristic procedures Cheapest Insertion, Cheapest Insertion with multiple routes, GENIUS, Variable Neighborhood Search (VNS), Variable Neighborhood Descent (VND), Tabu Search (TS) and Path Re...