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António Gaspar-Cunha
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2020 – today
- 2023
- [c24]António Gaspar-Cunha
, Paulo Costa
Scalability of Multi-objective Evolutionary Algorithms for Solving Real-World Complex Optimization Problems. EMO 2023: 86-100 - [p2]Tinkle Chugh, António Gaspar-Cunha
Identifying Correlations in Understanding and Solving Many-Objective Optimisation Problems. Many-Criteria Optimization and Decision Analysis 2023: 241-267 - 2022
- [j14]Francisco José Monaco
Regularization-free multicriteria optimization of polymer viscoelasticity model. Appl. Soft Comput. 124: 109040 (2022) - [j13]António Gaspar-Cunha
Artificial intelligence in single screw polymer extrusion: Learning from computational data. Eng. Appl. Artif. Intell. 116: 105397 (2022) - 2020
- [j12]Ivan Reinaldo Meneghini
Scalable and customizable benchmark problems for many-objective optimization. Appl. Soft Comput. 90: 106139 (2020) - [c23]Ana Maria A. C. Rocha
Single Screw Extrusion Optimization Using the Tchebycheff Scalarization Method. ICCSA (3) 2020: 664-679 - [i1]Ivan Reinaldo Meneghini, Marcos Antonio Alves, António Gaspar-Cunha, Frederico Gadelha Guimarães:
Scalable and Customizable Benchmark Problems for Many-Objective Optimization. CoRR abs/2001.11591 (2020)
2010 – 2019
- 2019
- [j11]Roman Denysiuk
Neuroevolution for solving multiobjective knapsack problems. Expert Syst. Appl. 116: 65-77 (2019) - [c22]Renê Pinto, Hugo Silva
Neuroevolutionary Multiobjective Methodology for the Optimization of the Injection Blow Molding Process. EMO 2019: 743-754 - [c21]Roman Denysiuk, António Gaspar-Cunha
Combining artificial neural networks and evolution to solve multiobjective knapsack problems. GECCO (Companion) 2019: 19-20 - 2018
- [c20]Ivan Reinaldo Meneghini
Information to the Eye of the Beholder: Data Visualization for Many-Objective Optimization. CEC 2018: 1-8 - 2017
- [j10]Roman Denysiuk, António Gaspar-Cunha
Multiobjective evolutionary algorithm based on vector angle neighborhood. Swarm Evol. Comput. 37: 45-57 (2017) - [c19]Roman Denysiuk, António Gaspar-Cunha
Weighted Stress Function Method for Multiobjective Evolutionary Algorithm Based on Decomposition. EMO 2017: 176-190 - 2016
- [c18]Ivan Reinaldo Meneghini
Competitive coevolutionary algorithm for robust multi-objective optimization: The worst case minimization. CEC 2016: 586-593 - 2015
- [j9]Eduardo G. Carrano
Feedback-control operators for improved Pareto-set description: Application to a polymer extrusion process. Eng. Appl. Artif. Intell. 38: 147-167 (2015) - [c17]Luciana Rocha Pedro
A Model for a Human Decision-Maker in a Polymer Extrusion Process. EMO (2) 2015: 358-372 - [c16]Célio Fernandes
Multi-Objective Optimization of Gate Location and Processing Conditions in Injection Molding Using MOEAs: Experimental Assessment. EMO (2) 2015: 373-387 - [e3]António Gaspar-Cunha
Evolutionary Multi-Criterion Optimization - 8th International Conference, EMO 2015, Guimarães, Portugal, March 29 -April 1, 2015. Proceedings, Part I. Lecture Notes in Computer Science 9018, Springer 2015, ISBN 978-3-319-15933-1 [contents] - [e2]António Gaspar-Cunha
Evolutionary Multi-Criterion Optimization - 8th International Conference, EMO 2015, Guimarães, Portugal, March 29 -April 1, 2015. Proceedings, Part II. Lecture Notes in Computer Science 9019, Springer 2015, ISBN 978-3-319-15891-4 [contents] - 2014
- [j8]Kalyanmoy Deb, Sunith Bandaru
An integrated approach to automated innovization for discovering useful design principles: Case studies from engineering. Appl. Soft Comput. 15: 42-56 (2014) - [j7]Cristina Teixeira, José A. Covas, Thomas Stützle
Hybrid algorithms for the twin-screw extrusion configuration problem. Appl. Soft Comput. 23: 298-307 (2014) - [j6]António Gaspar-Cunha
An Engineering Scale-Up Approach using Multi-Objective Optimization. Int. J. Nat. Comput. Res. 4(1): 17-30 (2014) - [c15]António Gaspar-Cunha, J. C. Ferreira, José A. Covas, Gustavo Recio:
Selection of solutions in multi-objective optimization: Decision making and robustness. MCDM 2014: 16-23 - 2013
- [c14]Rituparna Datta, M. Fernanda P. Costa
An evolutionary algorithm based pattern search approach for constrained optimization. IEEE Congress on Evolutionary Computation 2013: 1355-1362 - 2011
- [j5]António Gaspar-Cunha
Multi-objective memetic algorithm: comparing artificial neural networks and pattern search filter method approaches. Int. Trans. Oper. Res. 18(2): 183-203 (2011) - [j4]Cristina Teixeira, José A. Covas
Engineering an efficient two-phase local search algorithm for the co-rotating twin-screw extruder configuration problem. Int. Trans. Oper. Res. 18(2): 271-291 (2011) - [c13]António Gaspar-Cunha
Aesthetic Design Using Multi-Objective Evolutionary Algorithms. EMO 2011: 374-388 - 2010
- [j3]António Gaspar-Cunha, Fernando Mendes, João M. M. Duarte, Armando Vieira, Bernardete Ribeiro, André Ribeiro, João Carvalho das Neves:
Feature Selection for Bankruptcy Prediction: A Multi-Objective Optimization Approach. Int. J. Nat. Comput. Res. 1(2): 71-91 (2010) - [c12]Bernardete Ribeiro
Financial distress model prediction using SVM+. IJCNN 2010: 1-7 - [c11]António Gaspar-Cunha
Feature Selection Using Multi-Objective Evolutionary Algorithms: Application to Cardiac SPECT Diagnosis. IWPACBB 2010: 85-92 - [c10]António Gaspar-Cunha
Multi-Objective Evolutionary Algorithms for Feature Selection: Application in Bankruptcy Prediction. SEAL 2010: 319-328 - [e1]Xiao Zhi Gao, António Gaspar-Cunha
Soft Computing in Industrial Applications - Algorithms, Integration, and Success Stories, Proceedings of the 14th Online World Conference on Soft Computing in Industrial Applications (WSC14), November 17-29, 2009. Advances in Intelligent and Soft Computing 75, Springer 2010, ISBN 978-3-642-11281-2 [contents]
2000 – 2009
- 2009
- [c9]José C. Ferreira, Carlos M. Fonseca
Assessing the quality of the relation between scalarizing function parameters and solutions in multiobjective optimization. IEEE Congress on Evolutionary Computation 2009: 1131-1136 - [c8]Cristina Teixeira, José A. Covas
Optimization of Co-rotating Twin-Screw Extruders Using Pareto Local Search. WSC 2009: 3-10 - [c7]Fernando Mendes, João M. M. Duarte, Armando Vieira
Feature Selection for Bankruptcy Prediction: A Multi-Objective Optimization Approach. WSC 2009: 109-115 - 2008
- [j2]António Gaspar-Cunha
Robustness in multi-objective optimization using evolutionary algorithms. Comput. Optim. Appl. 39(1): 75-96 (2008) - 2007
- [c6]José C. Ferreira, Carlos M. Fonseca
Methodology to select solutions from the pareto-optimal set: a comparative study. GECCO 2007: 789-796 - 2005
- [j1]António Gaspar-Cunha, Armando Vieira:
A Multi-Objective Evolutionary Algorithm Using Neural Networks to Approximate Fitness Evaluations. Int. J. Comput. Syst. Signals 6(1): 18-36 (2005) - 2004
- [c5]António Gaspar-Cunha, Armando Vieira:
A Hybrid Multi-Objective Evolutionary Algorithm Using an Inverse Neural Network. Hybrid Metaheuristics 2004: 25-30 - [c4]António Gaspar-Cunha
Application of Evolutionary Algorithms to the Design of Barrier Screws for Single Screw Extruders. WSC 2004: 763-774 - [p1]António Gaspar-Cunha, José A. Covas:
RPSGAe - Reduced Pareto Set Genetic Algorithm: Application to Polymer Extrusion. Metaheuristics for Multiobjective Optimisation 2004: 221-249 - 2003
- [c3]António Gaspar-Cunha
A Real-World Test Problem for EMO Algorithms. EMO 2003: 752-766
1990 – 1999
- 1999
- [c2]N. Costa, António Gaspar-Cunha, Bernardete Ribeiro:
Monitoring an Industrial Plastic Injection Moulding Machine Using Neural Networks. ICANNGA 1999: 89-94 - 1997
- [c1]António Gaspar-Cunha, Pedro Oliveira, José A. Covas:
Use of Genetic Algorithms in Multicriteria Optimization to Solve Industrial Problems. ICGA 1997: 682-688
Coauthor Index
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