JP2 Research Project FAPESP
Project: Development of a Hybrid Metaheuristic with Adaptive Control Flow and Parameters
Process number: 2018/15417-8
Period: 2019 - 2023
Research Team: Antônio Augusto Chaves; Luiz Antônio Nogueira Lorena; José Fernando Gonçalves
Objective
Development of an A-BRKGA method with online configuration of parameters and control flow, in such a way that, the parameters control and the control flow of the algorithm is performed while an instance of a problem is being solved.
Keywords: machine learning; metaheuristics; local search; promising regions
Expected results are:
- Construct a search method that aims to automate the process of selecting and combining operators and simple heuristics to efficiently solve combinatorial optimization problems;
- Study and solve combinatorial optimization problems with industrial and logistical applications;
- Testing with a significant number of instances to ensure the relevance of experimentation. Study real case instances;
- Comparison of the proposed method with state-of-the-art algorithms by statistical analysis.
Optimization Problems:
- Field Technician Scheduling Problem
- Multicommodity Traveling Salesman Problem with Priority Prizes
- Two-Stage Capacitated Facility Location Problem
- Facility Location Problem with Overlapping
Award:
- 02 MSc grant
- 01 PhD grant (only for direct doctoral)
- 01 Postdoctoral
FELLOWSHIP
Call for postdoctoral and PhD position
Postdoctoral Application Deadline: May 15, 2020
Selected Candidate:
- Cleder Marcos Schenekemberg
Master Application Deadline: December 31, 2019
Selected Candidates:
- Ricardo Vinicio Silva Martins
- Bárbara Lessa Vianna
Postdoctoral Application Deadline: June 15, 2020
Selected Candidate:
- Danilo Lelin Lin