Genetic Algorithms for Multiobjective Optimization: FormulationDiscussion and Generalization. - Carlos M. Fonseca; Peter J. Fleming (ICGA, 1993)

An Overview of Evolutionary Algorithms in Multiobjective Optimization. - Carlos M. Fonseca; Peter J. Fleming (Evol. Comput., 1995)

On the Performance Assessment and Comparison of Stochastic Multiobjective Optimizers. - Carlos M. Fonseca; Peter J. Fleming (PPSN, 1996)

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)

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)

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 (CEC, 1999)

Accelerating multi-objective control system design using a neuro-genetic approach. - N. M. Duarte; António E. B. Ruano; Carlos M. Fonseca; Peter J. Fleming (CEC, 2000)

Inferential Performance Assessment of Stochastic Optimisers and the Attainment Function. - Viviane Grunert da Fonseca; Carlos M. Fonseca; Andreia O. Hall (EMO, 2001)

Neuro-genetic PID autotuning. - J. M. Lima; A. B. Azevedo; N. M. Duarte; Carlos M. Fonseca; António E. B. Ruano; Peter J. Fleming (ECC, 2001)

Why Quality Assessment Of Multiobjective Optimizers Is Difficult. - Eckart Zitzler; Marco Laumanns; Lothar Thiele; Carlos M. Fonseca; Viviane Grunert da Fonseca (GECCO, 2002)

Genetic assisted selection of RBF model structures for greenhouse inside air temperature prediction. - Pedro M. Ferreira 003; António E. B. Ruano; Carlos M. Fonseca (CCA, 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)

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)

'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)

Developing redundant binary representations for genetic search. - Carlos M. Fonseca; Marisol B. Correia (Congress on Evolutionary Computation, 2005)

Multiobjective Optimization and Multiple Constraint Handling with Evolutionary Algorithms. - Carlos M. Fonseca; Peter J. Fleming (Practical Approaches to Multi-Objective Optimization, 2005)

Exploring the Performance of Stochastic Multiobjective Optimisers with the Second-Order Attainment Function. - Carlos M. Fonseca; Viviane Grunert da Fonseca; Luís Paquete (EMO, 2005)

An Improved Dimension-Sweep Algorithm for the Hypervolume Indicator. - Carlos M. Fonseca; Luís Paquete; Manuel López-Ibáñez 001 (IEEE Congress on Evolutionary Computation, 2006)

How redundancy and neutrality may affect evolution on NK fitness landscapes. - Marisol B. Correia; Carlos M. Fonseca (IEEE Congress on Evolutionary Computation, 2007)

Bi-objective Combined Facility Location and Network Design. - Eduardo G. Carrano; Ricardo H. C. Takahashi; Carlos M. Fonseca; Oriane M. Neto (EMO, 2007)

Multi-objective Evolutionary Algorithms for Resource Allocation Problems. - Dilip Datta; Kalyanmoy Deb; Carlos M. Fonseca (EMO, 2007)

Decision Making in Evolutionary Optimization (Abstract of Invited Talk). - Carlos M. Fonseca (EMO, 2007)

On the roles of redundancy and neutrality in evolutionary optimization: an experimental study. - Marisol B. Correia; Carlos M. Fonseca (GECCO, 2007)

Methodology to select solutions from the pareto-optimal set: a comparative study. - José C. Ferreira; Carlos M. Fonseca; António Gaspar-Cunha (GECCO, 2007)

A unified model of optimisation problems. - Cristina C. Vieira; Carlos M. Fonseca (GECCO, 2007)

Preference Articulation in Evolutionary Multiobjective Optimisation. - Carlos M. Fonseca (HIS, 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 (SMC, 2007)

Multi-Objective Evolutionary Algorithm for University Class Timetabling Problem. - Dilip Datta; Kalyanmoy Deb; Carlos M. Fonseca (Evolutionary Scheduling, 2007)

Graph partitioning through a multi-objective evolutionary algorithm: a preliminary study. - Dilip Datta; José Rui Figueira; Carlos M. Fonseca; Fernando Tavares-Pereira (GECCO, 2008)

A multi-objective evolutionary algorithm to exploit the similarities of resource allocation problems. - Dilip Datta; Carlos M. Fonseca; Kalyanmoy Deb (J. Sched., 2008)

Assessing the quality of the relation between scalarizing function parameters and solutions in multiobjective optimization. - José C. Ferreira; Carlos M. Fonseca; António Gaspar-Cunha (IEEE Congress on Evolutionary Computation, 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 (Hybrid and Robust Approaches to Multiobjective Optimization, 2009)

On the Complexity of Computing the Hypervolume Indicator. - Nicola Beume; Carlos M. Fonseca; Manuel López-Ibáñez 001; Luís Paquete; Jan Vahrenhold (IEEE Trans. Evol. Comput., 2009)

The Attainment-Function Approach to Stochastic Multiobjective Optimizer Assessment and Comparison. - Viviane Grunert da Fonseca; Carlos M. Fonseca (Experimental Methods for the Analysis of Optimization Algorithms, 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 Relationship between the Covered Fraction, Completeness and Hypervolume Indicators. - Viviane Grunert da Fonseca; Carlos M. Fonseca (Artificial Evolution, 2011)

Computing Hypervolume Contributions in Low Dimensions: Asymptotically Optimal Algorithm and Complexity Results. - Michael T. M. Emmerich; Carlos M. Fonseca (EMO, 2011)

On the Computation of the Empirical Attainment Function. - Carlos M. Fonseca; Andreia P. Guerreiro; Manuel López-Ibáñez 001; Luís Paquete (EMO, 2011)

A Fast Dimension-Sweep Algorithm for the Hypervolume Indicator in Four Dimensions. - Andreia P. Guerreiro; Carlos M. Fonseca; Michael T. M. Emmerich (CCCG, 2012)

A Portfolio Optimization Approach to Selection in Multiobjective Evolutionary Algorithms. - Iryna Yevseyeva; Andreia P. Guerreiro; Michael T. M. Emmerich; Carlos M. Fonseca (PPSN, 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 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 (EMO (2), 2015)

Semantic Learning Machine: A Feedforward Neural Network Construction Algorithm Inspired by Geometric Semantic Genetic Programming. - Ivo Gonçalves; Sara Silva; Carlos M. Fonseca (EPIA, 2015)

On the Generalization Ability of Geometric Semantic Genetic Programming. - Ivo Gonçalves; Sara Silva; Carlos M. Fonseca (EuroGP, 2015)

Greedy Hypervolume Subset Selection in the Three-Objective Case. - Andreia P. Guerreiro; Carlos M. Fonseca; Luís Paquete (GECCO, 2015)

Representation of the non-dominated set in biobjective discrete optimization. - Daniel Vaz 001; Luís Paquete; Carlos M. Fonseca; Kathrin Klamroth; Michael Stiglmayr (Comput. Oper. Res., 2015)

A Multicriteria Generalization of Bayesian Global Optimization. - Michael Emmerich 001; Kaifeng Yang; André H. Deutz; Hao Wang 025; Carlos M. Fonseca (Advances in Stochastic and Deterministic Global Optimization, 2016)

A quadratic approximation-based local search operator for handling two equality constraints in continuous optimization problems. - Carlos M. Fonseca; Elizabeth Fialho Wanner (CEC, 2016)

Arbitrarily Close Alignments in the Error Space: A Geometric Semantic Genetic Programming Approach. - Ivo Gonçalves; Sara Silva; Carlos M. Fonseca; Mauro Castelli (GECCO (Companion), 2016)

Lyapunov Design of a Simple Step-Size Adaptation Strategy Based on Success. - Claudia R. Correa; Elizabeth F. Wanner; Carlos M. Fonseca (PPSN, 2016)

Tutorials at PPSN 2016. - Carola Doerr; Nicolas Bredèche; Enrique Alba 001; Thomas Bartz-Beielstein; Dimo Brockhoff; Benjamin Doerr; Gusz Eiben; Michael G. Epitropakis; Carlos M. Fonseca; Andreia P. Guerreiro; Evert Haasdijk; Jacqueline Heinerman; et al. (PPSN, 2016)

Hypervolume Sharpe-Ratio Indicator: Formalization and First Theoretical Results. - Andreia P. Guerreiro; Carlos M. Fonseca (PPSN, 2016)

Greedy Hypervolume Subset Selection in Low Dimensions. - Andreia P. Guerreiro; Carlos M. Fonseca; Luís Paquete (Evol. Comput., 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)

Computing 3-D Expected Hypervolume Improvement and Related Integrals in Asymptotically Optimal Time. - Kaifeng Yang; Michael Emmerich 001; André H. Deutz; Carlos M. Fonseca (EMO, 2017)

Unsure when to stop?: ask your semantic neighbors. - Ivo Gonçalves; Sara Silva; Carlos M. Fonseca; Mauro Castelli (GECCO, 2017)

A box decomposition algorithm to compute the hypervolume indicator. - Renaud Lacour; Kathrin Klamroth; Carlos M. Fonseca (Comput. Oper. Res., 2017)

Geometric Crossover in Syntactic Space. - João Macedo; Carlos M. Fonseca; Ernesto Costa (EuroGP, 2018)

Energy-efficient multigroup communication. - André Riker; Carlos M. Fonseca; Marília Curado; Edmundo Monteiro (Trans. Emerg. Telecommun. Technol., 2018)

Computing and Updating Hypervolume Contributions in Up to Four Dimensions. - Andreia P. Guerreiro; Carlos M. Fonseca (IEEE Trans. Evol. Comput., 2018)

The Bicriterion Maximum Flow Network Interdiction Problem in s-t-Planar Graphs. - Luca E. Schäfer; Tobias Dietz; Marco V. Natale; Stefan Ruzika; Sven O. Krumke; Carlos M. Fonseca (OR, 2019)

Theory of Randomized Optimization Heuristics (Dagstuhl Reports 19431). - Carola Doerr; Carlos M. Fonseca; Tobias Friedrich 001; Xin Yao 001 (Dagstuhl Reports, 2019)

The Hypervolume Indicator: Problems and Algorithms. - Andreia P. Guerreiro; Carlos M. Fonseca; Luís Paquete (CoRR, 2020)

On the Bicriterion Maximum Flow Network Interdiction Problem. - Luca E. Schäfer; Stefan Ruzika; Sven O. Krumke; Carlos M. Fonseca (CoRR, 2020)

Scalability in Multiobjective Optimization (Dagstuhl Seminar 20031). - Carlos M. Fonseca; Kathrin Klamroth; Günter Rudolph; Margaret M. Wiecek (Dagstuhl Reports, 2020)

An analysis of the Hypervolume Sharpe-Ratio Indicator. - Andreia P. Guerreiro; Carlos M. Fonseca (Eur. J. Oper. Res., 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)

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)

A Compressive Receding Horizon Approach for Smart Home Energy Management. - Joaquim Leitão; Carlos M. Fonseca; Paulo Gil; Bernardete Ribeiro; Alberto Cardoso (IEEE Access, 2021)

The Hypervolume Indicator: Computational Problems and Algorithms. - Andreia P. Guerreiro; Carlos M. Fonseca; Luís Paquete (ACM Comput. Surv., 2022)

Theory of Randomized Optimization Heuristics (Dagstuhl Seminar 22081). - Anne Auger; Carlos M. Fonseca; Tobias Friedrich 001; Johannes Lengler (Dagstuhl Reports, 2022)

Multiobjective Optimization on a Budget (Dagstuhl Seminar 23361). - Richard Allmendinger 001; Carlos M. Fonseca; Serpil Sayin; Margaret M. Wiecek; Michael Stiglmayr (Dagstuhl Reports, 2023)

Theoretical Aspects of Subset Selection in Multi-Objective Optimisation. - Andreia P. Guerreiro; Kathrin Klamroth; Carlos M. Fonseca (Many-Criteria Optimization and Decision Analysis, 2023)

Special issue on exact and approximation methods for mixed-integer multi-objective optimization. - Carlos Henggeler Antunes; Carlos M. Fonseca; Luís Paquete; Michael Stiglmayr (Math. Methods Oper. Res., 2024)