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Laboratory of populational dynamics

Grant number: 17/12671-8
Support Opportunities:Regular Research Grants
Start date: October 01, 2017
End date: September 30, 2019
Field of knowledge:Interdisciplinary Subjects
Principal Investigator:Pedro Henrique Triguis Schimit
Grantee:Pedro Henrique Triguis Schimit
Host Institution: Universidade Nove de Julho (UNINOVE). Campus Vergueiro. São Paulo , SP, Brazil
Associated researchers: Abimael Rodrigues Sergio ; Fabio Henrique Pereira ; Fernanda Morán Menezes Pereira ; Paulo Ricardo Batista Mesquita ; Sidnei Alves de Araújo
Associated research grant(s):17/50393-0 - Simulation modeling of vector borne diseases with coarse and fine scale partial information, AP.R SPRINT

Abstract

The proposal of this research project is the creation of a high-performance computer simulation laboratory to treat problems that can be divided into small parts, such as multi-agent systems, or problems that involve the population of individuals in the modeling. In addition to being used for the proponent's research, the laboratory will also be used by its staff (undergrad students, master and doctoral students), and other master and doctoral program teachers to address their problems. Therefore, the proposed architecture is robust to work without interruptions and efficiently solve complex problems. (AU)

Articles published in Agência FAPESP Newsletter about the research grant:
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VEICULO: TITULO (DATA)
VEICULO: TITULO (DATA)

Scientific publications (13)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
PEREIRA, F. M. M.; SCHIMIT, P. H. T.. Dengue fever spreading based on probabilistic cellular automata with two lattices. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, v. 499, p. 75-87, . (17/12671-8)
SCHIMIT, P. H. T.. A model based on cellular automata to estimate the social isolation impact on COVID-19 spreading in Brazil. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, v. 200, . (17/12671-8)
SCHIMIT, PEDRO H. T.; PATTNI, KARAN; BROOM, MARK. Dynamics of multiplayer games on complex networks using territorial interactions. PHYSICAL REVIEW E, v. 99, n. 3, p. 17-pg., . (17/12671-8)
QUIROGA, CASSIO DE LIMA; SCHIMIT, PEDRO HENRIQUE TRIGUIS. A multi-city epidemiological model based on cellular automata and complex networks for the COVID-19. COMPUTATIONAL & APPLIED MATHEMATICS, v. 42, n. 6, p. 24-pg., . (17/12671-8)
SCHIMIT, PEDRO H. T.; PATTNI, KARAN; BROOM, MARK. Dynamics of multiplayer games on complex networks using territorial interactions. Physical Review E, v. 99, n. 3, . (17/12671-8)
SILVA, E.; PEREIRA, F. H.; SCHIMIT, P. H. T.. Information spreading in a population modeled by continuous asynchronous probabilistic cellular automata. COMPUTER COMMUNICATIONS, v. 154, p. 288-297, . (17/12671-8)
MONTEIRO, L. H. A.; GANDINI, D. M.; SCHIMIT, P. H. T.. The influence of immune individuals in disease spread evaluated by cellular automaton and genetic algorithm. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, v. 196, . (17/50393-0, 17/12671-8)
RAMOS, A. B. M.; SCHIMIT, P. H. T.. Disease spreading on populations structured by groups. Applied Mathematics and Computation, v. 353, p. 265-273, . (17/12671-8)
SCHIMIT, P. H. T.; PEREIRA, F. H.. Disease spreading in complex networks: A numerical study with Principal Component Analysis. EXPERT SYSTEMS WITH APPLICATIONS, v. 97, p. 41-50, . (17/12671-8)
DE ARAUJO LIMA, STANLEY JEFFERSON; DE ARAUJO, SIDNEI ALVES; TRIGUIS SCHIMIT, PEDRO HENRIQUE. A hybrid approach based on genetic algorithm and nearest neighbor heuristic for solving the capacitated vehicle routing problem. ACTA SCIENTIARUM-TECHNOLOGY, v. 40, . (17/12671-8)
SCHIMIT, PEDRO H. T.; PEREIRA, FABIO H.; BROOM, MARK. Good predictors for the fixation probability on complex networks of multi-player games using territorial interactions. ECOLOGICAL COMPLEXITY, v. 51, p. 9-pg., . (17/12671-8)
VANWAMBEKE, S. O.; SCHIMIT, P. H. T.. Tick bite risk resulting from spatially heterogeneous hazard, exposure and coping capacity. ECOLOGICAL COMPLEXITY, v. 48, . (17/50393-0, 17/12671-8)