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: