Carlos M. Fonseca

Publication Activity (10 Years)

Years Active: 1993-2023
Publications (10 Years): 26

Top Topics

Knapsack Problem

Multiobjective Evolutionary Algorithms

Optimization Problems

Top Venues

Dagstuhl Reports

Comput. Oper. Res.

Publications

Richard Allmendinger, Carlos M. Fonseca, Serpil Sayin, Margaret M. Wiecek, Michael Stiglmayr
Multiobjective Optimization on a Budget (Dagstuhl Seminar 23361). Dagstuhl Reports 13 (9) (2023)
Anne Auger, Carlos M. Fonseca, Tobias Friedrich, Johannes Lengler
Theory of Randomized Optimization Heuristics (Dagstuhl Seminar 22081). Dagstuhl Reports 12 (2) (2022)
Andreia P. Guerreiro, Carlos M. Fonseca, Luís Paquete
The Hypervolume Indicator: Computational Problems and Algorithms. ACM Comput. Surv. 54 (6) (2021)
Joaquim Leitão, Carlos M. Fonseca, Paulo Gil, Bernardete Ribeiro, Alberto Cardoso
A Compressive Receding Horizon Approach for Smart Home Energy Management. IEEE Access 9 (2021)
Luca E. Schäfer, Stefan Ruzika, Sven O. Krumke, Carlos M. Fonseca
On the Bicriterion Maximum Flow Network Interdiction Problem. CoRR (2020)
Pietro S. Oliveto, Anne Auger, Francisco Chicano, Carlos M. Fonseca
Guest Editorial Special Issue on Theoretical Foundations of Evolutionary Computation. IEEE Trans. Evol. Comput. 24 (6) (2020)
Carlos M. Fonseca, Kathrin Klamroth, Günter Rudolph, Margaret M. Wiecek
Scalability in Multiobjective Optimization (Dagstuhl Seminar 20031). Dagstuhl Reports 10 (1) (2020)
Andreia P. Guerreiro, Carlos M. Fonseca
An analysis of the Hypervolume Sharpe-Ratio Indicator. Eur. J. Oper. Res. 283 (2) (2020)
Andreia P. Guerreiro, Carlos M. Fonseca, Luís Paquete
The Hypervolume Indicator: Problems and Algorithms. CoRR (2020)
Britta Schulze, Michael Stiglmayr, Luís Paquete, Carlos M. Fonseca, David Willems, Stefan Ruzika
On the rectangular knapsack problem: approximation of a specific quadratic knapsack problem. Math. Methods Oper. Res. 92 (1) (2020)
Carola Doerr, Carlos M. Fonseca, Tobias Friedrich, Xin Yao
Theory of Randomized Optimization Heuristics (Dagstuhl Reports 19431). Dagstuhl Reports 9 (10) (2019)
Luca E. Schäfer, Tobias Dietz, Marco V. Natale, Stefan Ruzika, Sven O. Krumke, Carlos M. Fonseca
-Planar Graphs. OR (2019)
André Riker, Carlos M. Fonseca, Marília Curado, Edmundo Monteiro
Energy-efficient multigroup communication. Trans. Emerg. Telecommun. Technol. 29 (3) (2018)
Andreia P. Guerreiro, Carlos M. Fonseca
Computing and Updating Hypervolume Contributions in Up to Four Dimensions. IEEE Trans. Evol. Comput. 22 (3) (2018)
João Macedo, Carlos M. Fonseca, Ernesto Costa
Geometric Crossover in Syntactic Space. EuroGP (2018)
Kaifeng Yang, Michael Emmerich, André H. Deutz, Carlos M. Fonseca
Computing 3-D Expected Hypervolume Improvement and Related Integrals in Asymptotically Optimal Time. EMO (2017)
Ivo Gonçalves, Sara Silva, Carlos M. Fonseca, Mauro Castelli
Unsure When to Stop? Ask Your Semantic Neighbors. CoRR (2017)
Ivo Gonçalves, Sara Silva, Carlos M. Fonseca, Mauro Castelli
Unsure when to stop?: ask your semantic neighbors. GECCO (2017)
Renaud Lacour, Kathrin Klamroth, Carlos M. Fonseca
A box decomposition algorithm to compute the hypervolume indicator. Comput. Oper. Res. 79 (2017)
Carola Doerr, Nicolas Bredèche, Enrique Alba, Thomas Bartz-Beielstein, Dimo Brockhoff, Benjamin Doerr, Gusz Eiben, Michael G. Epitropakis, Carlos M. Fonseca, Andreia P. Guerreiro, Evert Haasdijk, Jacqueline Heinerman, Julien Hubert, Per Kristian Lehre, Luigi Malagò, Juan Julián Merelo Guervós, Julian Francis Miller, Boris Naujoks, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Patricia Ryser-Welch, Giovanni Squillero, Jörg Stork, Dirk Sudholt, Alberto Paolo Tonda, L. Darrell Whitley, Martin Zaefferer
Tutorials at PPSN 2016. PPSN (2016)
Andreia P. Guerreiro, Carlos M. Fonseca
Hypervolume Sharpe-Ratio Indicator: Formalization and First Theoretical Results. PPSN (2016)
Ivo Gonçalves, Sara Silva, Carlos M. Fonseca, Mauro Castelli
Arbitrarily Close Alignments in the Error Space: A Geometric Semantic Genetic Programming Approach. GECCO (Companion) (2016)
Tobias Kuhn, Carlos M. Fonseca, Luís Paquete, Stefan Ruzika, Miguel Duarte, José Rui Figueira
Hypervolume Subset Selection in Two Dimensions: Formulations and Algorithms. Evol. Comput. 24 (3) (2016)
Andreia P. Guerreiro, Carlos M. Fonseca, Luís Paquete
Greedy Hypervolume Subset Selection in Low Dimensions. Evol. Comput. 24 (3) (2016)
Claudia R. Correa, Elizabeth F. Wanner, Carlos M. Fonseca
Lyapunov Design of a Simple Step-Size Adaptation Strategy Based on Success. PPSN (2016)
Carlos M. Fonseca, Elizabeth Fialho Wanner
A quadratic approximation-based local search operator for handling two equality constraints in continuous optimization problems. CEC (2016)
Renaud Lacour, Kathrin Klamroth, Carlos M. Fonseca
A Box Decomposition Algorithm to Compute the Hypervolume Indicator. CoRR (2015)
Daniel Vaz, Luís Paquete, Carlos M. Fonseca, Kathrin Klamroth, Michael Stiglmayr
Representation of the non-dominated set in biobjective discrete optimization. Comput. Oper. Res. 63 (2015)
Ivo Gonçalves, Sara Silva, Carlos M. Fonseca
Semantic Learning Machine: A Feedforward Neural Network Construction Algorithm Inspired by Geometric Semantic Genetic Programming. EPIA (2015)
Rafael Frederico Alexandre, Felipe Campelo, Carlos M. Fonseca, João Antônio de Vasconcelos
A Comparative Study of Algorithms for Solving the Multiobjective Open-Pit Mining Operational Planning Problems. EMO (2) (2015)
Ivo Gonçalves, Sara Silva, Carlos M. Fonseca
On the Generalization Ability of Geometric Semantic Genetic Programming. EuroGP (2015)
Andreia P. Guerreiro, Carlos M. Fonseca, Luís Paquete
Greedy Hypervolume Subset Selection in the Three-Objective Case. GECCO (2015)
Iryna Yevseyeva, Andreia P. Guerreiro, Michael T. M. Emmerich, Carlos M. Fonseca
A Portfolio Optimization Approach to Selection in Multiobjective Evolutionary Algorithms. PPSN (2014)
Jean Paulo Martins, Carlos M. Fonseca, Alexandre C. B. Delbem
On the performance of linkage-tree genetic algorithms for the multidimensional knapsack problem. Neurocomputing 146 (2014)
Andreia P. Guerreiro, Carlos M. Fonseca, Michael T. M. Emmerich
A Fast Dimension-Sweep Algorithm for the Hypervolume Indicator in Four Dimensions. CCCG (2012)
Michael T. M. Emmerich, Carlos M. Fonseca
Computing Hypervolume Contributions in Low Dimensions: Asymptotically Optimal Algorithm and Complexity Results. EMO (2011)
Carlos M. Fonseca, Andreia P. Guerreiro, Manuel López-Ibáñez, Luís Paquete
On the Computation of the Empirical Attainment Function. EMO (2011)
Viviane Grunert da Fonseca, Carlos M. Fonseca
The Relationship between the Covered Fraction, Completeness and Hypervolume Indicators. Artificial Evolution (2011)
Eduardo G. Carrano, Ricardo H. C. Takahashi, Carlos M. Fonseca, Oriane M. Neto
Nonlinear Network Optimization - An Embedding Vector Space Approach. IEEE Trans. Evol. Comput. 14 (2) (2010)
Carlos M. Fonseca, Xavier Gandibleux, Pekka J. Korhonen, Luis Marti, Boris Naujoks, Lothar Thiele, Jyrki Wallenius, Eckart Zitzler
09041 Working Group on EMO for Interactive Multiobjective Optimization (1st Round). Hybrid and Robust Approaches to Multiobjective Optimization (2009)
Nicola Beume, Carlos M. Fonseca, Manuel López-Ibáñez, Luís Paquete, Jan Vahrenhold
On the Complexity of Computing the Hypervolume Indicator. IEEE Trans. Evol. Comput. 13 (5) (2009)
José C. Ferreira, Carlos M. Fonseca, António Gaspar-Cunha
Assessing the quality of the relation between scalarizing function parameters and solutions in multiobjective optimization. IEEE Congress on Evolutionary Computation (2009)
Dilip Datta, José Rui Figueira, Carlos M. Fonseca, Fernando Tavares-Pereira
Graph partitioning through a multi-objective evolutionary algorithm: a preliminary study. GECCO (2008)
Dilip Datta, Carlos M. Fonseca, Kalyanmoy Deb
A multi-objective evolutionary algorithm to exploit the similarities of resource allocation problems. J. Sched. 11 (6) (2008)
Carlos M. Fonseca
Preference Articulation in Evolutionary Multiobjective Optimisation. HIS (2007)
Marisol B. Correia, Carlos M. Fonseca
How redundancy and neutrality may affect evolution on NK fitness landscapes. IEEE Congress on Evolutionary Computation (2007)
Cristina C. Vieira, Carlos M. Fonseca
A unified model of optimisation problems. GECCO (2007)
José C. Ferreira, Carlos M. Fonseca, António Gaspar-Cunha
Methodology to select solutions from the pareto-optimal set: a comparative study. GECCO (2007)
Marisol B. Correia, Carlos M. Fonseca
On the roles of redundancy and neutrality in evolutionary optimization: an experimental study. GECCO (2007)
Eduardo G. Carrano, Carlos M. Fonseca, Ricardo H. C. Takahashi, Luciano C. A. Pimenta, Oriane M. Neto
A preliminary comparison of tree encoding schemes for evolutionary algorithms. SMC (2007)
Dilip Datta, Kalyanmoy Deb, Carlos M. Fonseca
Multi-objective Evolutionary Algorithms for Resource Allocation Problems. EMO (2006)
Carlos M. Fonseca, Luís Paquete, Manuel López-Ibáñez
An Improved Dimension-Sweep Algorithm for the Hypervolume Indicator. IEEE Congress on Evolutionary Computation (2006)
Carlos M. Fonseca
Decision Making in Evolutionary Optimization (Abstract of Invited Talk). EMO (2006)
Eduardo G. Carrano, Ricardo H. C. Takahashi, Carlos M. Fonseca, Oriane M. Neto
Bi-objective Combined Facility Location and Network Design. EMO (2006)
Carlos M. Fonseca, Marisol B. Correia
Developing redundant binary representations for genetic search. Congress on Evolutionary Computation (2005)
Carlos M. Fonseca, Viviane Grunert da Fonseca, Luís Paquete
Exploring the Performance of Stochastic Multiobjective Optimisers with the Second-Order Attainment Function. EMO (2005)
Carlos M. Fonseca, Peter J. Fleming
Multiobjective Optimization and Multiple Constraint Handling with Evolutionary Algorithms. Practical Approaches to Multi-Objective Optimization (2005)
Katya Rodríguez-Vázquez, Carlos M. Fonseca, Peter J. Fleming
'Identifying the structure of nonlinear dynamic systems using multiobjective genetic programming. IEEE Trans. Syst. Man Cybern. Part A 34 (4) (2004)
Eckart Zitzler, Lothar Thiele, Marco Laumanns, Carlos M. Fonseca, Viviane Grunert da Fonseca
Performance assessment of multiobjective optimizers: an analysis and review. IEEE Trans. Evol. Comput. 7 (2) (2003)
António E. B. Ruano, Peter J. Fleming, César Alexandre Teixeira, Katya Rodríguez-Vázquez, Carlos M. Fonseca
Nonlinear identification of aircraft gas-turbine dynamics. Neurocomputing 55 (3-4) (2003)
Eckart Zitzler, Marco Laumanns, Lothar Thiele, Carlos M. Fonseca, Viviane Grunert da Fonseca
Why Quality Assessment Of Multiobjective Optimizers Is Difficult. GECCO (2002)
J. M. Lima, A. B. Azevedo, N. Duarte, Carlos M. Fonseca, António E. B. Ruano, Philip J. Fleming
Neuro-genetic PID autotuning. ECC (2001)
Viviane Grunert da Fonseca, Carlos M. Fonseca, Andreia O. Hall
Inferential Performance Assessment of Stochastic Optimisers and the Attainment Function. EMO (2001)
N. M. Duarte, António E. B. Ruano, Carlos M. Fonseca, Peter J. Fleming
Accelerating multi-objective control system design using a neuro-genetic approach. CEC (2000)
K. J. Shaw, Anne L. Nortcliffe, M. Thompson, J. Love, Peter J. Fleming, Carlos M. Fonseca
Assessing the performance of multiobjective genetic algorithms for optimization of a batch process scheduling problem. CEC (1999)
Carlos M. Fonseca, Peter J. Fleming
Multiobjective optimization and multiple constraint handling with evolutionary algorithms. II. Application example. IEEE Trans. Syst. Man Cybern. Part A 28 (1) (1998)
Carlos M. Fonseca, Peter J. Fleming
Multiobjective optimization and multiple constraint handling with evolutionary algorithms. I. A unified formulation. IEEE Trans. Syst. Man Cybern. Part A 28 (1) (1998)
Carlos M. Fonseca, Peter J. Fleming
On the Performance Assessment and Comparison of Stochastic Multiobjective Optimizers. PPSN (1996)
Carlos M. Fonseca, Peter J. Fleming
An Overview of Evolutionary Algorithms in Multiobjective Optimization. Evol. Comput. 3 (1) (1995)
Carlos M. Fonseca, Peter J. Fleming
Genetic Algorithms for Multiobjective Optimization: FormulationDiscussion and Generalization. ICGA (1993)