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[1]
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E. G. Carrano, R. H. C. Takahashi, C. M. Fonseca, and O. M. Neto, “Nonlinear
network optimization-An embedding vector space approach,” IEEE
Transactions on Evolutionary Computation, 2009.
To appear.
[ DOI ]
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[2]
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N. Beume, C. M. Fonseca, M. López-Ibáñez, L. Paquete, and
J. Vahrenhold, “On the complexity of computing the hypervolume indicator,”
IEEE Transactions on Evolutionary Computation, vol. 13,
pp. 1075-1082, Oct. 2009.
[ DOI ]
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[3]
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D. Datta, C. M. Fonseca, and K. Deb, “A multi-objective evolutionary algorithm
to exploit the similarities of resource allocation problems,” Journal
of Scheduling, vol. 11, pp. 405-419, Dec. 2008.
[ DOI ]
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[4]
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E. G. Carrano, R. T. N. Cardoso, R. H. C. Takahashi, C. M. Fonseca, and O. M.
Neto, “Power distribution network expansion scheduling using dynamic
programming genetic algorithm,” IET Generation, Transmission &
Distribution, vol. 2, pp. 444-455, May 2008.
[ DOI |
http ]
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[5]
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D. Datta, K. Deb, C. M. Fonseca, F. Lobo, P. Condado, and J. Seixas,
“Multi-objective evolutionary algorithm for land-use management problem,”
International Journal of Computational Intelligence Research, vol. 3,
no. 4, pp. 371-384, 2007.
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[6]
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K. Rodríguez-Vázquez, C. M. Fonseca, and P. J. Fleming, “Identifying
the structure of nonlinear dynamic systems using multiobjective genetic
programming,” IEEE Transactions on Systems, Man and
Cybernetics-Part A: Systems and Humans, vol. 34, pp. 531-545, July 2004.
[ DOI ]
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[7]
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A. E. Ruano, P. J. Fleming, C. Teixeira, K. Rodríguez-Vázquez, and
C. M. Fonseca, “Nonlinear identification of aircraft gas-turbine dynamics,”
Neurocomputing, vol. 55, pp. 551-579, Oct. 2003.
[ DOI ]
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[8]
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J. Hüsler, P. Cruz, A. Hall, and C. M. Fonseca, “On optimization and
extreme value theory,” Methodology and Computing in Applied
Probability, vol. 5, pp. 183-195, June 2003.
[ DOI ]
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[9]
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E. Zitzler, L. Thiele, M. Laumanns, C. M. Fonseca, and V. Grunert da Fonseca,
“Performance assessment of multiobjective optimizers: An analysis and
review,” IEEE Transactions on Evolutionary Computation, vol. 7,
pp. 117-132, Apr. 2003.
[ DOI ]
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[10]
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V. Grunert da Fonseca and C. M. Fonseca, “A link between the multivariate
cumulative distribution function and the hitting function for random closed
sets,” Statistics and Probability Letters, vol. 57, pp. 179-182, Apr.
2002.
[ DOI ]
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[11]
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C. M. Fonseca and P. J. Fleming, “Multiobjective optimization and multiple
constraint handling with evolutionary algorithms-Part II: Application
example,” IEEE Transactions on Systems, Man and Cybernetics-Part A:
Systems and Humans, vol. 28, pp. 38-47, Jan. 1998.
[ DOI ]
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[12]
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C. M. Fonseca and P. J. Fleming, “Multiobjective optimization and multiple
constraint handling with evolutionary algorithms-Part I: A unified
formulation,” IEEE Transactions on Systems, Man and
Cybernetics-Part A: Systems and Humans, vol. 28, pp. 26-37, Jan. 1998.
[ DOI ]
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[13]
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C. M. Fonseca and P. J. Fleming, “An overview of evolutionary algorithms in
multiobjective optimization,” Evolutionary Computation, vol. 3,
pp. 1-16, Spring 1995.
[ DOI |
.pdf ]
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[14]
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C. M. Fonseca, “Bayesian estimation of the intensity of low level radiation
sources,” Jaderná Energie, vol. 37, pp. 83-97, Mar. 1991.
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[1]
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C. C. Vieira and C. M. Fonseca, “A conceptual model of optimization
problems,” in Workshop/Summer School on Evolutionary Computing, Lecture
Series by Pioneers, (Londonderry, Norther Ireland), Aug. 2008.
4 pages.
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[2]
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D. Datta, J. R. Figueira, C. M. Fonseca, and F. Tavares-Pereira, “Graph
partitioning through a multi-objective evolutionary algorithm: A preliminary
study,” in Genetic and Evolutionary Computation Conference (GECCO
2008), (Atlanta, GA), pp. 625-632, July 2008.
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[3]
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E. G. Carrano, C. M. Fonseca, R. H. C. Takahashi, L. C. A. Pimenta, and O. M.
Neto, “A preliminary comparison of tree network encoding schemes for
evolutionary algorithms,” in Proceedings of the 2007 IEEE International
Conference on Systems, Man and Cybernetics, (Montreal, Canada),
pp. 1969-1974, Oct. 2007.
[ DOI ]
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[4]
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M. B. Correia and C. M. Fonseca, “How redundancy and neutrality may affect
evolution on nk fitness landscapes,” in CEC 2007, IEEE Congress on
Evolutionary Computation, (Singapore), pp. 2842-2849, Sept. 2007.
[ DOI ]
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[5]
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J. C. Ferreira, C. M. Fonseca, and A. Gaspar-Cunha, “Methodology to select
solutions from the pareto-optimal set: A comparative study,” in
Genetic and Evolutionary Computation Conference (GECCO 2007), (London, UK),
pp. 789-796, July 2007.
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[6]
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J. C. Ferreira, C. M. Fonseca, and A. Gaspar-Cunha, “A new methodology to
select the preferred solutions from the Pareto-optimal set: Application
to polymer extrusion,” in 10th ESAFORM Conference on Material Forming,
vol. 907 of AIP Conference Proceedings, pp. 861-866, AIP, Apr. 2007.
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[7]
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D. Datta, K. Deb, and C. M. Fonseca, “Solving class timetabling problem of
IIT-Kanpur using multiobjective evolutionary algorithm,” in NCRSME
2007 - National Conference of Research Scholars in Mechanical Engineering,
(Kanpur, India), Mar. 2007.
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[8]
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E. G. Carrano, R. H. C. Takahashi, C. M. Fonseca, and O. M. Neto,
“Bi-objective combined facility location and network design,” in
Evolutionary Multi-Criterion Optimization. Fourth International Conference,
EMO 2007 (S. Obayashi, K. Deb, C. Poloni, T. Hiroyasu, and T. Murata, eds.),
vol. 4403 of Lecture Notes in Computer Science, pp. 486-500, Berlin:
Springer, 2007.
[ DOI ]
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[9]
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D. Datta, K. Deb, and C. M. Fonseca, “Multi-objective evolutionary algorithms
for resource allocation problems,” in Evolutionary Multi-Criterion
Optimization. Fourth International Conference, EMO 2007 (S. Obayashi,
K. Deb, C. Poloni, T. Hiroyasu, and T. Murata, eds.), vol. 4403 of
Lecture Notes in Computer Science, pp. 401-416, Berlin: Springer, 2007.
[ DOI ]
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[10]
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C. Cabrita, J. Botzheim, T. D. Gedeon, A. E. Ruano, and C. M. Fonseca,
“Bacterial memetic algorithm for fuzzy rule base optimization,” in WAC
2006 - ISSCI Symposium, (Budapest, Hungary), 2006.
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[11]
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C. M. Fonseca, L. Paquete, and M. López-Ibáñez, “An improved
dimension-sweep algorithm for the hypervolume indicator,” in CEC 2006,
IEEE Congress on Evolutionary Computation, (Vancouver, Canada),
pp. 1157-1163, July 2006.
[ source code |
http ]
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[12]
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C. M. Fonseca and M. B. Correia, “Developing redundant binary representations
for genetic search,” in The 2005 IEEE Congress on Evolutionary
Computation, vol. 2, (Edinburgh, U.K.), pp. 1675-1682, Sept. 2005.
[ DOI ]
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[13]
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P. M. Ferreira, A. E. Ruano, and C. M. Fonseca, “Evolutionary multiobjective
design of radial basis function networks for greenhouse environmental
control,” in Proceedings of the 16th IFAC World Congress, (Prague,
Czech Republic), July 2005.
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[14]
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C. M. Fonseca, V. Grunert da Fonseca, and L. Paquete, “Exploring the
performance of stochastic multiobjective optimisers with the second-order
attainment function,” in Evolutionary Multi-Criterion Optimization.
Third International Conference, EMO 2005 (C. A. Coello Coello,
A. Hernández Aguirre, and E. Zitzler, eds.), vol. 3410 of Lecture
Notes in Computer Science, pp. 250-264, Berlin: Springer, 2005.
[ DOI |
.pdf ]
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[15]
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P. M. Ferreira, A. E. Ruano, and C. M. Fonseca, “Genetic assisted selection of
RBF model structures for greenhouse inside air temperature prediction,” in
Proceedings of 2003 IEEE CSS Conference on Control Applications,
vol. 1, (Istambul, Turkey), pp. 576-581, June 2003.
[ http ]
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[16]
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E. Zitzler, M. Laumanns, L. Thiele, C. M. Fonseca, and V. Grunert da Fonseca,
“Why quality assessment of multiobjective optimizers is difficult,” in
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO
2002) (W. B. Langdon et al., ed.), (New York, NY), pp. 666-673, July 2002.
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[17]
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J. M. Lima, A. B. Azevedo, N. Duarte, C. M. Fonseca, A. E. Ruano, and P. J.
Fleming, “Neuro-genetic PID autotuning,” in Proceedings of the
European Control Conference 2001 (ECC 2001), (Porto, Portugal),
pp. 3899-3904, Sept. 2001.
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[18]
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V. Grunert da Fonseca, C. M. Fonseca, and A. O. Hall, “Inferential performance
assessment of stochastic optimisers and the attainment function,” in
Evolutionary Multi-Criterion Optimization. First International Conference,
EMO 2001 (E. Zitzler, K. Deb, L. Thiele, C. A. Coello Coello, and D. Corne,
eds.), vol. 1993 of Lecture Notes in Computer Science, pp. 213-225,
Berlin: Springer, 2001.
[ DOI |
http |
.pdf ]
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[19]
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A. J. Chipperfield, C. M. Fonseca, H. C. Betteridge, and P. J. Fleming,
“Design of a wide envelope controller for a STOVL gas turbine engine,” in
Proceedings of the 14th IFAC World Congress, vol. C, (Beijing, China),
pp. 479-484, 1999.
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[20]
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C. M. Fonseca and P. J. Fleming, “On the performance assessment and comparison
of stochastic multiobjective optimizers,” in Parallel Problem Solving
from Nature - PPSN IV (H.-M. Voigt, W. Ebeling, I. Rechenberg, and H.-P.
Schwefel, eds.), vol. 1141 of Lecture Notes in Computer Science,
pp. 584-593, Berlin: Springer, 1996.
[ DOI |
.pdf ]
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[21]
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C. M. Fonseca and P. J. Fleming, “Non-linear system identification with
multiobjective genetic algorithms,” in Proceedings of the 13th IFAC
World Congress, vol. C, (San Francisco, CA), pp. 187-192, 1996.
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[22]
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C. M. Fonseca and P. J. Fleming, “Multiobjective genetic algorithms made easy:
Selection, sharing and mating restriction,” in First IEE/IEEE
International Conference on Genetic Algorithms in Engineering Systems:
Innovations and Applications, (Sheffield, U.K.), pp. 45-52, The Institution
of Electrical Engineers, 1995.
[ http ]
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[23]
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C. M. Fonseca and P. J. Fleming, “Multiobjective optimal controller design
with genetic algorithms,” in Proc. IEE Control'94 International
Conference, vol. 1, (Warwick, U.K.), pp. 745-749, The Institution of
Electrical Engineers, Apr. 1994.
[ DOI |
http ]
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[24]
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C. M. Fonseca, E. M. Mendes, P. J. Fleming, and S. A. Billings, “Non-linear
model term selection with genetic algorithms,” in IEE/IEEE Workshop on
Natural Algorithms in Signal Processing, vol. 2, (Essex, U.K.),
pp. 27/1-27/8, Nov. 1993.
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[25]
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P. J. Fleming and C. M. Fonseca, “Genetic algorithms in control systems
engineering,” in Proceedings of the 12th IFAC World Congress, vol. 2,
(Sydney, Australia), pp. 383-390, 1993.
Preprints.
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[26]
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C. M. Fonseca and P. J. Fleming, “Genetic algorithms for multiobjective
optimization: Formulation, discussion and generalization,” in Genetic
Algorithms: Proceedings of the Fifth International Conference (S. Forrest,
ed.), pp. 416-423, San Mateo, CA: Morgan Kaufmann, 1993.
[ .pdf ]
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[27]
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C. M. Fonseca, S. Williams, and J. J. O'Reilly, “VLSI implementation of a
runlength limited error control coding scheme,” in Third Bangor
Symposium on Communications, (Bangor, U.K.), pp. 341-344, Advanced
Communication Engineering Laboratories, University of Wales, May 1991.
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[1]
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D. Datta, K. Deb, and C. M. Fonseca, “Multi-objective evolutionary algorithm
for university class timetabling problem,” in Evolutionary Scheduling
(K. P. Dahal, K. C. Tan, and P. I. Cowling, eds.), vol. 49 of Studies in
Computational Intelligence, ch. 8, pp. 197-236, Berlin: Springer, 2007.
[ DOI ]
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[2]
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A. E. Ruano, P. M. Ferreira, and C. M. Fonseca, “An overview of nonlinear
identification and control with neural networks,” in Intelligent
Control using Intelligent Computational Techniques (A. E. Ruano, ed.),
vol. 70 of IEE Control Engineering Series, ch. 2, pp. 37-87,
Stevenage, U.K.: The Institution of Electrical Engineers, 2005.
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[3]
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C. M. Fonseca and P. J. Fleming, “Multiobjective optimization,” in
Evolutionary Computation 2: Advanced Algorithms and Operators (T. Bäck,
D. B. Fogel, and Z. Michalewicz, eds.), ch. 5, pp. 25-37, Bristol, U.K.: IOP
Publishing, 2000.
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[4]
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C. M. Fonseca and P. J. Fleming, “Multiobjective genetic algorithms,” in
Genetic Algorithms in Engineering Systems (A. M. S. Zalzala and P. J.
Fleming, eds.), vol. 55 of IEE Control Engineering Series, ch. 3,
pp. 63-78, Stevenage, U.K.: The Institution of Electrical Engineers, 1997.
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[5]
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C. M. Fonseca and P. J. Fleming, “Multiobjective optimization,” in
Handbook of Evolutionary Computation (T. Bäck, D. B. Fogel, and
Z. Michalewicz, eds.), ch. C4.5, pp. C4.5:1-C4.5:9, IOP Publishing and
Oxford University Press, 1997.
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[6]
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A. J. Chipperfield, P. J. Fleming, and C. M. Fonseca, “Introduction to
MATLAB,” in MATLAB toolboxes and applications for control (A. J.
Chipperfield and P. J. Fleming, eds.), vol. 48 of IEE Control
Engineering Series, ch. 1, pp. 3-20, Stevenage, U.K.: Peter Peregrinus,
1993.
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[7]
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P. J. Fleming, C. M. Fonseca, and T. P. Crummey, “MATLAB: Its toolboxes and
open structure,” in CAD for Control Systems (D. A. Linkens, ed.),
ch. 11, pp. 271-286, New York: Marcel Dekker, 1993.
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[1]
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C. M. Fonseca, “Preference articulation in evolutionary multiobjective
optimisation,” in HIS 2007, 7th International Conference on Hybrid
Intelligent Systems, (Kaiserslautern, Germany), Sept. 2007.
Invited plenary presentation.
[ DOI ]
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[2]
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C. M. Fonseca, “Current issues in evolutionary multiobjective optimisation,”
in EUROGEN 2007, ECCOMAS Thematic Conference on Evolutionary and
Deterministic Methods for Design, Optimization and Control with Applications
to Industrial and Societal Problems (P. Neittaanmäki, J. Periaux, and
T. Tuovinen, eds.), (Jyväskylä, Finland), June 2007.
Invited semi-plenary keynote lecture.
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[3]
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C. M. Fonseca, “Decision making in evolutionary optimization,” in
Evolutionary Multi-Criterion Optimization. Fourth International Conference,
EMO 2007 (S. Obayashi, K. Deb, C. Poloni, T. Hiroyasu, and T. Murata, eds.),
vol. 4403 of Lecture Notes in Computer Science, p. 3, Berlin: Springer,
2007.
Invited keynote presentation.
[ DOI ]
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[4]
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C. M. Fonseca, “Preference articulation in multiobjective evolutionary
algorithms,” in Workshop on Multiobjective Problem-Solving from
Nature, (Reykjavik, Iceland), Sept. 2006.
Invited talk.
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[5]
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C. M. Fonseca and V. Grunert da Fonseca, “The attainment-function approach to
stochastic multiobjective optimiser assessment and comparison,” in
Empirical Methods for the Analysis of Algorithms, Workshop EMAA 2006,
Proceedings (L. Paquete, M. Chiarandini, and D. Basso, eds.), (Reykjavik,
Iceland), Sept. 2006.
Invited talk.
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[6]
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C. M. Fonseca, “A multiobjective view of optimizer performance,” in
Tercer Congreso Español de Metaheurísticas, Algoritmos Evolutivos y
Bioinspirados (MAEB'04), (Cordoba, Spain), Feb. 2004.
Invited plenary talk.
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