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Tiago Ismailer de Carvalho
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2010 – 2019
- 2019
- [j2]Tiago I. de Carvalho
, Murillo G. Carneiro
, Gina M. B. Oliveira
:
Improving cellular automata scheduling through dynamics control. Int. J. Parallel Emergent Distributed Syst. 34(1): 115-141 (2019) - [j1]Bruno Well Dantas Morais
, Gina Maira Barbosa de Oliveira, Tiago Ismailer de Carvalho
:
Evolutionary Models applied to Multiprocessor TaskScheduling: Serial and Multipopulation Genetic Algorithm. RITA 26(1): 11-25 (2019) - 2018
- [c6]Tiago I. de Carvalho
, Bruno Well Dantas Morais, Gina Maira Barbosa de Oliveira:
Bio-Inspired and Heuristic Methods Applied to a Benchmark of the Task Scheduling Problem. BRACIS 2018: 516-521 - [c5]Gina Maira Barbosa de Oliveira, Tiago Ismailer de Carvalho
:
SSCS-λ: A Cellular Automata-Based Scheduler with Stochastic Update Based on the Neighbourhood States. ICTAI 2018: 452-457 - 2017
- [c4]Tiago Ismailer de Carvalho
, Gina Maira Barbosa de Oliveira:
Stochastic Cellular Automata Model to Reduce Rule Space Cardinality Applied to Task Scheduling with Many Processors. BRACIS 2017: 115-120 - 2016
- [c3]Tiago Ismailer de Carvalho
, Murillo Guimarães Carneiro
, Gina Maira Barbosa de Oliveira:
A Comparison of a Proposed Dynamical Direct Verification of Lattice's Configuration and a Forecast Behavior Parameter on a Cellular Automata Model to Task Scheduling. ACRI 2016: 258-268 - [c2]Tiago I. de Carvalho
, Murillo Guimarães Carneiro
, Gina Maira Barbosa de Oliveira:
A Hybrid Strategy to Evolve Cellular Automata Rules with a Desired Dynamical Behavior Applied to the Task Scheduling Problem. BRACIS 2016: 492-497 - 2015
- [c1]Tiago I. de Carvalho, Gina M. B. Oliveira:
Searching for non-regular neighborhood cellular automata rules applied to scheduling task and guided by a forecast dynamical behavior parameter. ECAL 2015: 538-545
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