Carlos M. Fonseca

According to our database, Carlos M. Fonseca authored at least 71 papers between 1993 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Multiobjective Optimization on a Budget (Dagstuhl Seminar 23361).

Richard Allmendinger, Carlos M. Fonseca, Serpil Sayin, Margaret M. Wiecek, Michael Stiglmayr

Dagstuhl Reports, 2023

2022

Theory of Randomized Optimization Heuristics (Dagstuhl Seminar 22081).

Anne Auger, Carlos M. Fonseca, Tobias Friedrich, Johannes Lengler

Dagstuhl Reports, 2022

The Hypervolume Indicator: Computational Problems and Algorithms.

Andreia P. Guerreiro, Carlos M. Fonseca, Luís Paquete

ACM Comput. Surv., 2022

2021

A Compressive Receding Horizon Approach for Smart Home Energy Management.

Joaquim Leitão, Carlos M. Fonseca, Paulo Gil, Bernardete Ribeiro, Alberto Cardoso

IEEE Access, 2021

2020

Guest Editorial Special Issue on Theoretical Foundations of Evolutionary Computation.

Pietro S. Oliveto, Anne Auger, Francisco Chicano, Carlos M. Fonseca

IEEE Trans. Evol. Comput., 2020

On the rectangular knapsack problem: approximation of a specific quadratic knapsack problem.

Britta Schulze, Michael Stiglmayr, Luís Paquete, Carlos M. Fonseca, David Willems, Stefan Ruzika

Math. Methods Oper. Res., 2020

An analysis of the Hypervolume Sharpe-Ratio Indicator.

Andreia P. Guerreiro, Carlos M. Fonseca

Eur. J. Oper. Res., 2020

Scalability in Multiobjective Optimization (Dagstuhl Seminar 20031).

Carlos M. Fonseca, Kathrin Klamroth, Günter Rudolph, Margaret M. Wiecek

Dagstuhl Reports, 2020

On the Bicriterion Maximum Flow Network Interdiction Problem.

Luca E. Schäfer, Stefan Ruzika, Sven O. Krumke, Carlos M. Fonseca

CoRR, 2020

The Hypervolume Indicator: Problems and Algorithms.

Andreia P. Guerreiro, Carlos M. Fonseca, Luís Paquete

CoRR, 2020

2019

Theory of Randomized Optimization Heuristics (Dagstuhl Reports 19431).

Carola Doerr, Carlos M. Fonseca, Tobias Friedrich, Xin Yao

Dagstuhl Reports, 2019

The Bicriterion Maximum Flow Network Interdiction Problem in <i>s</i>-<i>t</i>-Planar Graphs.

Luca E. Schäfer, Tobias Dietz, Marco V. Natale, Stefan Ruzika, Sven O. Krumke, Carlos M. Fonseca

Proceedings of the Operations Research Proceedings 2019, 2019

2018

Computing and Updating Hypervolume Contributions in Up to Four Dimensions.

Andreia P. Guerreiro, Carlos M. Fonseca

IEEE Trans. Evol. Comput., 2018

Energy-efficient multigroup communication.

André Riker, Carlos M. Fonseca, Marília Curado, Edmundo Monteiro

Trans. Emerg. Telecommun. Technol., 2018

Geometric Crossover in Syntactic Space.

João Macedo, Carlos M. Fonseca, Ernesto Costa

Proceedings of the Genetic Programming - 21st European Conference, 2018

2017

A box decomposition algorithm to compute the hypervolume indicator.

Renaud Lacour, Kathrin Klamroth, Carlos M. Fonseca

Comput. Oper. Res., 2017

Unsure when to stop?: ask your semantic neighbors.

Ivo Gonçalves, Sara Silva, Carlos M. Fonseca, Mauro Castelli

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Computing 3-D Expected Hypervolume Improvement and Related Integrals in Asymptotically Optimal Time.

Kaifeng Yang, Michael Emmerich, André H. Deutz, Carlos M. Fonseca

Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

2016

Hypervolume Subset Selection in Two Dimensions: Formulations and Algorithms.

Tobias Kuhn, Carlos M. Fonseca, Luís Paquete, Stefan Ruzika, Miguel Duarte, José Rui Figueira

Evol. Comput., 2016

Greedy Hypervolume Subset Selection in Low Dimensions.

Andreia P. Guerreiro, Carlos M. Fonseca, Luís Paquete

Evol. Comput., 2016

Hypervolume Sharpe-Ratio Indicator: Formalization and First Theoretical Results.

Andreia P. Guerreiro, Carlos M. Fonseca

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Tutorials at PPSN 2016.

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

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Lyapunov Design of a Simple Step-Size Adaptation Strategy Based on Success.

Claudia R. Correa, Elizabeth F. Wanner, Carlos M. Fonseca

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Arbitrarily Close Alignments in the Error Space: A Geometric Semantic Genetic Programming Approach.

Ivo Gonçalves, Sara Silva, Carlos M. Fonseca, Mauro Castelli

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

A quadratic approximation-based local search operator for handling two equality constraints in continuous optimization problems.

Carlos M. Fonseca, Elizabeth Fialho Wanner

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A Multicriteria Generalization of Bayesian Global Optimization.

Michael Emmerich, Kaifeng Yang, André H. Deutz, Hao Wang, Carlos M. Fonseca

Proceedings of the Advances in Stochastic and Deterministic Global Optimization., 2016

2015

Representation of the non-dominated set in biobjective discrete optimization.

Daniel Vaz, Luís Paquete, Carlos M. Fonseca, Kathrin Klamroth, Michael Stiglmayr

Comput. Oper. Res., 2015

Greedy Hypervolume Subset Selection in the Three-Objective Case.

Andreia P. Guerreiro, Carlos M. Fonseca, Luís Paquete

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

On the Generalization Ability of Geometric Semantic Genetic Programming.

Ivo Gonçalves, Sara Silva, Carlos M. Fonseca

Proceedings of the Genetic Programming - 18th European Conference, 2015

Semantic Learning Machine: A Feedforward Neural Network Construction Algorithm Inspired by Geometric Semantic Genetic Programming.

Ivo Gonçalves, Sara Silva, Carlos M. Fonseca

Proceedings of the Progress in Artificial Intelligence, 2015

A Comparative Study of Algorithms for Solving the Multiobjective Open-Pit Mining Operational Planning Problems.

Rafael Frederico Alexandre, Felipe Campelo, Carlos M. Fonseca, João Antônio de Vasconcelos

Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

2014

On the performance of linkage-tree genetic algorithms for the multidimensional knapsack problem.

Jean Paulo Martins, Carlos M. Fonseca, Alexandre C. B. Delbem

Neurocomputing, 2014

A Portfolio Optimization Approach to Selection in Multiobjective Evolutionary Algorithms.

Iryna Yevseyeva, Andreia P. Guerreiro, Michael T. M. Emmerich, Carlos M. Fonseca

Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

2012

A Fast Dimension-Sweep Algorithm for the Hypervolume Indicator in Four Dimensions.

Andreia P. Guerreiro, Carlos M. Fonseca, Michael T. M. Emmerich

Proceedings of the 24th Canadian Conference on Computational Geometry, 2012

2011

On the Computation of the Empirical Attainment Function.

Carlos M. Fonseca, Andreia P. Guerreiro, Manuel López-Ibáñez, Luís Paquete

Proceedings of the Evolutionary Multi-Criterion Optimization, 2011

Computing Hypervolume Contributions in Low Dimensions: Asymptotically Optimal Algorithm and Complexity Results.

Michael T. M. Emmerich, Carlos M. Fonseca

Proceedings of the Evolutionary Multi-Criterion Optimization, 2011

The Relationship between the Covered Fraction, Completeness and Hypervolume Indicators.

Viviane Grunert da Fonseca, Carlos M. Fonseca

Proceedings of the Artificial Evolution, 2011

2010

Nonlinear Network Optimization - An Embedding Vector Space Approach.

Eduardo G. Carrano, Ricardo H. C. Takahashi, Carlos M. Fonseca, Oriane M. Neto

IEEE Trans. Evol. Comput., 2010

The Attainment-Function Approach to Stochastic Multiobjective Optimizer Assessment and Comparison.

Viviane Grunert da Fonseca, Carlos M. Fonseca

Proceedings of the Experimental Methods for the Analysis of Optimization Algorithms., 2010

2009

On the Complexity of Computing the Hypervolume Indicator.

Nicola Beume, Carlos M. Fonseca, Manuel López-Ibáñez, Luís Paquete, Jan Vahrenhold

IEEE Trans. Evol. Comput., 2009

09041 Working Group on EMO for Interactive Multiobjective Optimization (1st Round).

Carlos M. Fonseca, Xavier Gandibleux, Pekka J. Korhonen, Luis Marti, Boris Naujoks, Lothar Thiele, Jyrki Wallenius, Eckart Zitzler

Proceedings of the Hybrid and Robust Approaches to Multiobjective Optimization, 18.01., 2009

Assessing the quality of the relation between scalarizing function parameters and solutions in multiobjective optimization.

José C. Ferreira, Carlos M. Fonseca, António Gaspar-Cunha

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008

A multi-objective evolutionary algorithm to exploit the similarities of resource allocation problems.

Dilip Datta, Carlos M. Fonseca, Kalyanmoy Deb

J. Sched., 2008

Graph partitioning through a multi-objective evolutionary algorithm: a preliminary study.

Dilip Datta, José Rui Figueira, Carlos M. Fonseca, Fernando Tavares-Pereira

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

2007

Multi-Objective Evolutionary Algorithm for University Class Timetabling Problem.

Dilip Datta, Kalyanmoy Deb, Carlos M. Fonseca

Proceedings of the Evolutionary Scheduling, 2007

A preliminary comparison of tree encoding schemes for evolutionary algorithms.

Eduardo G. Carrano, Carlos M. Fonseca, Ricardo H. C. Takahashi, Luciano C. A. Pimenta, Oriane M. Neto

Proceedings of the IEEE International Conference on Systems, 2007

Preference Articulation in Evolutionary Multiobjective Optimisation.

Carlos M. Fonseca

Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007

A unified model of optimisation problems.

Cristina C. Vieira, Carlos M. Fonseca

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Methodology to select solutions from the pareto-optimal set: a comparative study.

José C. Ferreira, Carlos M. Fonseca, António Gaspar-Cunha

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

On the roles of redundancy and neutrality in evolutionary optimization: an experimental study.

Marisol B. Correia, Carlos M. Fonseca

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Decision Making in Evolutionary Optimization (Abstract of Invited Talk).

Carlos M. Fonseca

Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007

Multi-objective Evolutionary Algorithms for Resource Allocation Problems.

Dilip Datta, Kalyanmoy Deb, Carlos M. Fonseca

Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007

Bi-objective Combined Facility Location and Network Design.

Eduardo G. Carrano, Ricardo H. C. Takahashi, Carlos M. Fonseca, Oriane M. Neto

Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007

How redundancy and neutrality may affect evolution on NK fitness landscapes.

Marisol B. Correia, Carlos M. Fonseca

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006

An Improved Dimension-Sweep Algorithm for the Hypervolume Indicator.

Carlos M. Fonseca, Luís Paquete, Manuel López-Ibáñez

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005

Exploring the Performance of Stochastic Multiobjective Optimisers with the Second-Order Attainment Function.

Carlos M. Fonseca, Viviane Grunert da Fonseca, Luís Paquete

Proceedings of the Evolutionary Multi-Criterion Optimization, 2005

Multiobjective Optimization and Multiple Constraint Handling with Evolutionary Algorithms.

Carlos M. Fonseca, Peter J. Fleming

Proceedings of the Practical Approaches to Multi-Objective Optimization, 2005

Developing redundant binary representations for genetic search.

Carlos M. Fonseca, Marisol B. Correia

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004

'Identifying the structure of nonlinear dynamic systems using multiobjective genetic programming.

Katya Rodríguez-Vázquez, Carlos M. Fonseca, Peter J. Fleming

IEEE Trans. Syst. Man Cybern. Part A, 2004

2003

Performance assessment of multiobjective optimizers: an analysis and review.

Eckart Zitzler, Lothar Thiele, Marco Laumanns, Carlos M. Fonseca, Viviane Grunert da Fonseca

IEEE Trans. Evol. Comput., 2003

Nonlinear identification of aircraft gas-turbine dynamics.

António E. B. Ruano, Peter J. Fleming, César Alexandre Teixeira, Katya Rodríguez-Vázquez, Carlos M. Fonseca

Neurocomputing, 2003

2002

Why Quality Assessment Of Multiobjective Optimizers Is Difficult.

Eckart Zitzler, Marco Laumanns, Lothar Thiele, Carlos M. Fonseca, Viviane Grunert da Fonseca

Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

2001

Neuro-genetic PID autotuning.

J. M. Lima, A. B. Azevedo, N. M. Duarte, Carlos M. Fonseca, António E. B. Ruano, Peter J. Fleming

Proceedings of the 6th European Control Conference, 2001

Inferential Performance Assessment of Stochastic Optimisers and the Attainment Function.

Viviane Grunert da Fonseca, Carlos M. Fonseca, Andreia O. Hall

Proceedings of the Evolutionary Multi-Criterion Optimization, 2001

2000

Accelerating multi-objective control system design using a neuro-genetic approach.

N. M. Duarte, António E. B. Ruano, Carlos M. Fonseca, Peter J. Fleming

Proceedings of the 2000 Congress on Evolutionary Computation, 2000

1999

Assessing the performance of multiobjective genetic algorithms for optimization of a batch process scheduling problem.

K. J. Shaw, Anne L. Nortcliffe, M. Thompson, J. Love, Peter J. Fleming, Carlos M. Fonseca

Proceedings of the 1999 Congress on Evolutionary Computation, 1999

1998

Multiobjective optimization and multiple constraint handling with evolutionary algorithms. II. Application example.

Carlos M. Fonseca, Peter J. Fleming

IEEE Trans. Syst. Man Cybern. Part A, 1998

Multiobjective optimization and multiple constraint handling with evolutionary algorithms. I. A unified formulation.

Carlos M. Fonseca, Peter J. Fleming

IEEE Trans. Syst. Man Cybern. Part A, 1998

1996

On the Performance Assessment and Comparison of Stochastic Multiobjective Optimizers.

Carlos M. Fonseca, Peter J. Fleming

Proceedings of the Parallel Problem Solving from Nature, 1996

1995

An Overview of Evolutionary Algorithms in Multiobjective Optimization.

Carlos M. Fonseca, Peter J. Fleming

Evol. Comput., 1995

1993

Genetic Algorithms for Multiobjective Optimization: FormulationDiscussion and Generalization.

Carlos M. Fonseca, Peter J. Fleming

Proceedings of the 5th International Conference on Genetic Algorithms, 1993