no code implementations • 3 Dec 2017 • Wellington Pinheiro dos Santos, Francisco Marcos de Assis, Ricardo Emmanuel de Souza, Plínio Batista dos Santos Filho, Fernando Buarque de Lima Neto
The classification results are used to improve the usual analysis of the apparent diffusion coefficient map.
no code implementations • 19 Jul 2017 • Joao Batista Monteiro Filho, Isabela Maria Carneiro de Albuquerque, Fernando Buarque de Lima Neto
Balancing assembly lines, a family of optimization problems commonly known as Assembly Line Balancing Problem, is notoriously NP-Hard.
no code implementations • 19 Jul 2017 • Joao Batista Monteiro Filho, Isabela Maria Carneiro de Albuquerque, Fernando Buarque de Lima Neto
Many assembly lines related optimization problems have been tackled by researchers in the last decades due to its relevance for the decision makers within manufacturing industry.
no code implementations • 19 Jul 2017 • Joao Batista Monteiro Filho, Isabela Maria Carneiro de Albuquerque, Fernando Buarque de Lima Neto
In this work we investigate the effectiveness of the application of niching able swarm metaheuristic approaches in order to solve constrained optimization problems.
no code implementations • 10 Aug 2013 • Satyakama Paul, Andreas Janecek, Fernando Buarque de Lima Neto, Tshilidzi Marwala
In this paper, we propose a new methodology based on the Negative Selection Algorithm that belongs to the field of Computational Intelligence, specifically, Artificial Immune Systems to identify takeover targets.