A. Carvalho

Multi-objective optimization for plant germplasm collection conservation of genetic resources based on molecular variability

J. Diniz‐Filho, M. E. Walter, R. Loyola, 2015, Tree Genetics & Genomes.

Hybrid Genetic Algorithm Applied to the Determination of the Optimal Operation of Hydrothermal Systems

André Carlos Ponce de Leon Ferreira de Carvalho, Adriano A. F. M. Carneiro, Patricia Texeira Leite, 2006, 2006 Ninth Brazilian Symposium on Neural Networks (SBRN'06).

Using a multi-objective artificial immune system approach for biodiversity conservation

André Carlos Ponce de Leon Ferreira de Carvalho, José Alexandre Felizola Diniz-Filho, Maria Emilia Telles Walter, 2017, 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD).

A Multi-objective Optimization Approach Associated to Climate Change Analysis to Improve Systematic Conservation Planning

André Carlos Ponce de Leon Ferreira de Carvalho, Jonathan Timmis, José Alexandre Felizola Diniz-Filho, 2015, EMO.

Multi-objective optimization applied to systematic conservation planning and spatial conservation priorities under climate change

André Carlos Ponce de Leon Ferreira de Carvalho, Jonathan Timmis, José Alexandre Felizola Diniz-Filho, 2014, GECCO.

Multi-objective optimization in systematic conservation planning and the representation of genetic variability among populations.

S Schlottfeldt, M E M T Walter, A C P L F Carvalho, 2015, Genetics and molecular research : GMR.

A new technique based on genetic algorithms for tracking of power system harmonics

André Carlos Ponce de Leon Ferreira de Carvalho, Denis V. Coury, Renata A. Macêdo, 2002, VII Brazilian Symposium on Neural Networks, 2002. SBRN 2002. Proceedings..

Using Multi-Objective Artificial Immune Systems to Find Core Collections Based on Molecular Markers

André Carlos Ponce de Leon Ferreira de Carvalho, Jonathan Timmis, José Alexandre Felizola Diniz-Filho, 2015, GECCO.

Multi-objective optimization for plant germplasm collection conservation of genetic resources based on molecular variability

J. Diniz‐Filho, M. E. Walter, R. Loyola, 2015, Tree Genetics & Genomes.

Energetic Operation Planning Using Genetic Algorithms

P. Leite, A. Carneiro, A. Carvalho, 2001, IEEE Power Engineering Review.

Genetic operators setting for the operation planning of hydrothermal systems

André Carlos Ponce de Leon Ferreira de Carvalho, Adriano Alber de França Mendes Carneiro, Patricia Teixeira Leite, 2002, VII Brazilian Symposium on Neural Networks, 2002. SBRN 2002. Proceedings..

A genetic algorithm approach to optimize the operation planning of hydrothermal system scheduling

André Carlos Ponce de Leon Ferreira de Carvalho, Adriano A. F. M. Carneiro, Patricia Texeira Leite, 1998, Proceedings 5th Brazilian Symposium on Neural Networks (Cat. No.98EX209).