| Grant number: | 15/21660-4 |
| Support Opportunities: | Regular Research Grants |
| Start date: | March 01, 2016 |
| End date: | December 31, 2018 |
| Field of knowledge: | Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques |
| Principal Investigator: | Mariá Cristina Vasconcelos Nascimento Rosset |
| Grantee: | Mariá Cristina Vasconcelos Nascimento Rosset |
| Host Institution: | Instituto de Ciência e Tecnologia (ICT). Universidade Federal de São Paulo (UNIFESP). Campus São José dos Campos. São José dos Campos , SP, Brazil |
| Associated researchers: | Ana Paula Ferreira Dias Barbosa Póvoa ; Valerio Rosset |
Abstract
The solution of combinatorial optimization problems remains a big challenge for researchers who aim at beyond quality of solutions low CPU time to achieve them. Exact methods are intractable and even the traditional heuristics can not be as efficient as expected for solving large scale instances, relevant to a number of applications. To determine high quality solutions, or even feasible, to the problem of sustainable supply chains, production planning and routing are also examples of barriers not yet overcome. Bearing these issues in mind, in this project, the researcher and collaborators (among them, master students, doctoral students, undergraduates and national and international researchers) will develop efficient methods, based on hybridization of exact methods and heuristics, primarily, to these combinatorial optimization problems. Besides that, we will study new models, stronger formulations. (AU)
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