Population Size Control for Efficiency and Efficacy Optimization in Population Based Metaheuristics. - Marcelo Gomes Pereira de Lacerda; Hugo Deandrade Amorim Neto; Teresa Bernarda Ludermir; Herbert Kuchen; Fernando Buarque de Lima Neto (CEC, 2018)

Parallelization Strategies for GPU-Based Ant Colony Optimization Solving the Traveling Salesman Problem. - Breno Augusto De Melo Menezes; Herbert Kuchen; Hugo de Andrade Amorim Neto; Fernando Buarque de Lima Neto (CEC, 2019)

On the Learning Properties of Dueling DDQN in Parameter Control for Evolutionary and Swarm-based Algorithms. - Marcelo Gomes Pereira de Lacerda; Fernando Buarque de Lima Neto; Hugo de Andrade Amorim Neto; Herbert Kuchen; Teresa Bernarda Ludermir (LA-CCI, 2019)

Step-Size Individualization: a Case Study for The Fish School Search Family. - Hugo de Andrade Amorim Neto; Marcelo Gomes Pereira de Lacerda; Fernando Buarque de Lima Neto (CEC, 2022)

Towards a parameterless out-of-the-box population size control for evolutionary and swarm-based algorithms for single objective bound constrained real-parameter numerical optimization. - Marcelo Gomes Pereira de Lacerda; Hugo de Andrade Amorim Neto; Teresa Bernarda Ludermir; Herbert Kuchen; Fernando Buarque de Lima Neto (Appl. Soft Comput., 2022)