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ORCIDEdilson Fernandes de Arruda
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Journal Articles
- 2023
[j15]Tracey J. England, Paul R. Harper
, Tom Crosby, Daniel Gartner, Edilson F. Arruda, Kieran Foley, Ian Williamson:
Modelling lung cancer diagnostic pathways using discrete event simulation. J. Simulation 17(1): 94-104 (2023)- 2020
- [j14]Henrique L. F. Soares, Edilson F. Arruda, Laura Bahiense, Daniel Gartner, Luiz Amorim Filho:
Optimisation and control of the supply of blood bags in hemotherapic centres via Markov decision process with discounted arrival rate. Artif. Intell. Medicine 104: 101791 (2020) - [j13]Isabelle D. Martins, Laura Bahiense, Carlos E. D. Infante, Edilson F. Arruda:
Dimensionality reduction for multi-criteria problems: An application to the decommissioning of oil and gas installations. Expert Syst. Appl. 148: 113236 (2020) - [j12]Daniel Barry Fuller, Edilson Fernandes de Arruda, Virgílio José Martins Ferreira Filho:
Learning-agent-based simulation for queue network systems. J. Oper. Res. Soc. 71(11): 1723-1739 (2020) - 2019
- [j11]Edilson F. Arruda, Basilio B. Pereira, Clarissa A. Thiers, Bernardo R. Tura:
Optimal testing policies for diagnosing patients with intermediary probability of disease. Artif. Intell. Medicine 97: 89-97 (2019) - [j10]Edilson F. Arruda, Marcelo D. Fragoso, Fabrício Ourique:
A multi-cluster time aggregation approach for Markov chains. Autom. 99: 382-389 (2019) - 2018
- [j9]Daniel Barry Fuller, Virgílio José Martins Ferreira Filho, Edilson Fernandes de Arruda:
Oil industry value chain simulation with learning agents. Comput. Chem. Eng. 111: 199-209 (2018) - [j8]Cecília L. Siqueira, Edilson F. Arruda, Laura Bahiense, Germana L. Bahr, Geraldo R. Motta:
Long-term integrated surgery room optimization and recovery ward planning, with a case study in the Brazilian National Institute of Traumatology and Orthopedics (INTO). Eur. J. Oper. Res. 264(3): 870-883 (2018) - 2015
- [j7]Edilson Fernandes de Arruda, Marcelo D. Fragoso:
Solving average cost Markov decision processes by means of a two-phase time aggregation algorithm. Eur. J. Oper. Res. 240(3): 697-705 (2015) - 2013
- [j6]Edilson F. Arruda, Fabrício Ourique, Jason Lacombe, Anthony Almudevar:
Accelerating the convergence of value iteration by using partial transition functions. Eur. J. Oper. Res. 229(1): 190-198 (2013) - 2012
- [j5]Tiago Baptista Noronha, Diego von Brixen Montzel Trindade, Vitor Halmenschlager, Maria Cristina Felippetto de Castro, Fernando César Comparsi de Castro, Edilson Fernandes de Arruda:
Window Walker - a Markov-Based Adaptive Bit Window Selection for DSP Blocks. J. Circuits Syst. Comput. 21(4) (2012) - [j4]Anthony Almudevar, Edilson Fernandes de Arruda:
Optimal Approximation Schedules for a Class of Iterative Algorithms, With an Application to Multigrid Value Iteration. IEEE Trans. Autom. Control. 57(12): 3132-3146 (2012) - 2011
- [j3]Edilson F. Arruda, Marcelo D. Fragoso, João Bosco Ribeiro do Val:
Approximate dynamic programming via direct search in the space of value function approximations. Eur. J. Oper. Res. 211(2): 343-351 (2011) - [j2]Edilson F. Arruda, Marcelo D. Fragoso:
Time aggregated Markov decision processes via standard dynamic programming. Oper. Res. Lett. 39(3): 193-197 (2011) - 2008
- [j1]Edilson F. Arruda, João Bosco Ribeiro do Val:
Stability and optimality of a multi-product production and storage system under demand uncertainty. Eur. J. Oper. Res. 188(2): 406-427 (2008)
Conference and Workshop Papers
- 2020
- [c10]João Marcelo Leal Gomes Leite, Edilson F. Arruda, Laura Bahiense, Lino G. Marujo:
Mine-to-client planning with Markov Decision Process. ECC 2020: 1123-1128 - 2017
- [c9]Edilson F. Arruda, Marcelo D. Fragoso, Fabrício Ourique:
Multi-partition time aggregation for Markov Chains. CDC 2017: 4922-4927 - 2016
- [c8]Edilson F. Arruda, Marcelo D. Fragoso:
Discounted Markov decision processes via time aggregation. ECC 2016: 2578-2583 - 2012
- [c7]Edilson Fernandes de Arruda, Marcelo D. Fragoso:
A two-phase time aggregation algorithm for average cost Markov decision processes. ACC 2012: 1615-1620 - 2010
- [c6]Edilson F. Arruda, Fabrício Ourique, Anthony Almudevar:
Toward an optimized value iteration algorithm for average cost Markov decision processes. CDC 2010: 930-934 - 2009
- [c5]Edilson F. Arruda, Marcelo D. Fragoso:
Standard dynamic programming applied to time aggregated Markov decision processes. CDC 2009: 2576-2580 - 2008
- [c4]Edilson F. Arruda, Marcelo D. Fragoso, João Bosco Ribeiro do Val:
An application of convex optimization concepts to approximate dynamic programming. ACC 2008: 4238-4243 - 2007
- [c3]Anthony Almudevar, Edilson F. Arruda:
Optimal approximation schedules for iterative algorithms with application to dynamic programming. CDC 2007: 4087-4094 - 2006
- [c2]Edilson F. Arruda, João B. R. do Val:
Approximate Dynamic Programming Based on Expansive Projections. CDC 2006: 5537-5542 - 2004
- [c1]Edilson F. Arruda, João B. R. do Val, Anthony Almudevar:
Stability and optimality of a discrete production and storage model with uncertain demand. CDC 2004: 3654-3660
Informal and Other Publications
- 2022
- [i4]Edilson F. Arruda, Tarun Sharma, Rodrigo e Alvim Alexandre, Sinnu Susan Thomas:
Epidemic Control Modeling using Parsimonious Models and Markov Decision Processes. CoRR abs/2206.13910 (2022) - 2021
- [i3]Edilson F. Arruda, Dayse H. Pastore, Clauda M. Dias, Shyam S. Das:
Modelling and Optimal Control of Multi Strain Epidemics, with Application to COVID-19. CoRR abs/2101.08137 (2021) - [i2]Edilson F. Arruda, Rodrigo e Alvim Alexandre, Marcelo D. Fragoso, João Bosco Ribeiro do Val, Sinnu Susan Thomas:
A Novel Stochastic Epidemic Model with Application to COVID-19. CoRR abs/2102.08213 (2021) - 2020
- [i1]Luís Tarrataca, Clauda M. Dias, Diego Barreto Haddad, Edilson F. Arruda:
Flattening the curves: on-off lock-down strategies for COVID-19 with an application to Brazi. CoRR abs/2004.06916 (2020)
Coauthor Index
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