Thursday, 9/28/2017
Researchers Ana Maria
Rocha and Edite Fernandes received the award granted by APDIO - Portuguese
Association of Operational Research during IO2017 - 27th APDIO Congress.
Ana Maria Alves
Coutinho Rocha, professor at the Department of Production and Systems (DPS) of
the School of Engineering of the University of Minho (EEUM) and Edite Manuela
Graça Pinto Fernandes, retired professor of the DPS; both researchers at the
ALGORITMI Research Centre, were granted the Isabel Themido Award for the paper
“A shifted hyperbolic augmented Lagrangian-based artificial fish two swarm
algorithm with guaranteed convergence for constrained global optimization”.
Maria Fernanda Pires Costa, researcher from the Mathematics research center of
the University of Minho, is also a co-author.
Published in 2016 in
the “Engineering Optimization” journal, the paper presents a new hyperbolic
penalty function and proposes an algorithm for nonconvex constrained global
optimization problems. Global convergence is proved. The algorithm was
implemented with a stochastic metaheuristic to be applied to all types of
problems. The numerical results show that the proposed strategy is effective
and an improvement on the solutions quality is obtained.
The award was granted
during IO2017 - 27th APDIO Congress, which took place at the School of Business
of the Polytechnic Institute of Viana do Castelo, from the 28th to
the 30th June 2017.
“I was very pleased
and satisfied to know that the 2017 Isabel Themido Award had been granted to
us. On behalf of all authors, I would like to take this opportunity to thank
the award. It is a great honour that such distinguished judges have recognised
the quality of our work”, Ana Maria Rocha refers.
The award intends to
reward the best scientific papers published by members of the Portuguese
Association of Operational Research (APDIO) during the period 2015-2016. APDIO
is a scientific society which gathers the Portuguese community with research
interest in Operational Research.
+ info: http://apdio.pt/web/io2017/home
