Starting Year: 2018
Title: BoostDFO: Improving the performance and moving to newer dimensions in Derivative-Free Optimization
Abstract: The goal of this project is to develop efficient and robust algorithms for Global and/or Multiobjective Derivative-free Optimization. This type of optimization is typically required in complex scientific/industrial applications, where the function evaluation is time-consuming and derivatives are not available for use, neither can be numerically approximated. Often problems present several conflicting objectives or users aspire to obtain global solutions (https://docentes.fct.unl.pt/a
Funding Source: FCT – Fundação para a Ciência e a Tecnologia, I.P.
Typology: R&D Project
Reference: PTDC/MAT-APL/28400/2017
Principal Investigator (PI): Ana Luísa Custódio
PI’s institution: FCT NOVA
NOVA Math members involved: Ana Luísa Custódio, Maria do Carmo Brás, Rohollah Garmanjani, Aboozar Mohammadi (PhD Student)
BoostDFO: Improving the performance and moving to newer dimensions in Derivative-Free Optimization
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