A study of combinatorial optimization problems related to data visualization
Exact algorithms and heuristics for the Perfect Awareness problem
Distance geometry and Clifford algebra for 3D protein structure calculation
Grant number: | 18/26434-0 |
Support Opportunities: | Regular Research Grants |
Start date: | May 01, 2019 |
End date: | October 31, 2021 |
Field of knowledge: | Physical Sciences and Mathematics - Computer Science - Theory of Computation |
Principal Investigator: | Pedro Jussieu de Rezende |
Grantee: | Pedro Jussieu de Rezende |
Host Institution: | Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil |
Associated researchers: | Cid Carvalho de Souza |
Abstract
The goal of this proposal is to investigate solutions to several difficult combinatorial problems with the intent of obtaining both heuristics and exact methods that are, in practice, efficient for solving large instances. The problems considered are related to the area of computational geometry and most of them present geometric characteristics that, if properly exploited, will benefit the development of algorithms. The various techniques used stem mainly from combinatorial optimization (mathematical modeling, integer linear programming, column generation, cutting plane algorithms, Lagrangian relaxation), metaheuristics (such as GRASP, tabu search, among others), graph theory and polyhedral combinatorics. The research in this proposal lies in the field of theory of computing, with a strong component from design and analysis of algorithms, while also encompassing many aspects of experimental computation. (AU)
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