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[29]
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A. Aguiar, P. Fernandes, A. P. Guerreiro, R. Tomás, J. Agnelo, J. L. Santos,
F. Araújo, M. C. Coelho, C. M. Fonseca, P. M. d’Orey, M. Luís, and
S. Sargento, “MobiWise: Eco-routing decision support leveraging the
Internet of Things,” Sustainable Cities and Society, vol. 87,
no. 104180, pp. 1--16, 2022.
Open access.
[ DOI ]
|
|
[28]
|
J. Leitão, C. M. Fonseca, P. Gil, B. Ribeiro, and A. Cardoso, “A compressive
receding horizon approach for smart home energy management,” IEEE
Access, vol. 9, pp. 100407--100435, 2021.
Open access.
[ DOI ]
|
|
[27]
|
A. P. Guerreiro, C. M. Fonseca, and L. Paquete, “The hypervolume indicator:
Computational problems and algorithms,” ACM Computing Surveys,
vol. 54, no. 6, pp. 1--42, 2021.
Open access.
[ DOI ]
|
|
[26]
|
B. Schulze, M. Stiglmayr, L. Paquete, C. M. Fonseca, D. Willems, and S. Ruzika,
“On the rectangular knapsack problem: Approximation of a specific quadratic
knapsack problem,” Mathematical Methods of Operations Research,
vol. 92, pp. 107--132, 2020.
Open access.
[ DOI ]
|
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[25]
|
A. P. Guerreiro and C. M. Fonseca, “An analysis of the hypervolume
Sharpe-ratio indicator,” European Journal of Operational Research,
vol. 283, no. 2, pp. 614--629, 2020.
Open access.
[ DOI |
source code ]
|
|
[24]
|
A. P. Guerreiro and C. M. Fonseca, “Computing and updating hypervolume
contributions in up to four dimensions,” IEEE Transactions on
Evolutionary Computation, vol. 22, no. 3, pp. 449--463, 2018.
[ DOI |
source code |
.pdf ]
|
|
[23]
|
A. Riker, C. M. Fonseca, M. Curado, and E. Monteiro, “Energy-efficient
multigroup communication,” Transactions on Emerging Telecommunications
Technologies, vol. 29, no. 3, pp. e3232:1--16, 2018.
[ DOI ]
|
|
[22]
|
J. C. Ferreira, C. M. Fonseca, R. Denysiuk, and A. Gaspar-Cunha, “Methodology
to select solutions for multiobjective optimization problems: Weighted stress
function method,” Journal of Multi-Criteria Decision Analysis,
vol. 24, no. 3-4, pp. 103--120, 2017.
[ DOI ]
|
|
[21]
|
J. R. Figueira, C. M. Fonseca, P. Halffmann, K. Klamroth, L. Paquete,
S. Ruzika, B. Schulze, M. Stiglmayr, and D. Willems, “Easy to say they're
hard, but hard to see they're easy -- Toward a categorization of tractable
multiobjective combinatorial optimization problems,” Journal of
Multi-Criteria Decision Analysis, vol. 24, no. 1-2, pp. 82--88, 2017.
[ DOI ]
|
|
[20]
|
R. Lacour, K. Klamroth, and C. M. Fonseca, “A box decomposition algorithm to
compute the hypervolume indicator,” Computers & Operations Research,
vol. 79, pp. 347--360, Mar. 2017.
[ DOI |
source code ]
|
|
[19]
|
A. P. Guerreiro, C. M. Fonseca, and L. Paquete, “Greedy hypervolume subset
selection in low dimensions,” Evolutionary Computation, vol. 24,
no. 3, pp. 521--544, 2016.
[ DOI |
source code |
.pdf ]
|
|
[18]
|
T. Kuhn, C. M. Fonseca, L. Paquete, S. Ruzika, M. M. Duarte, and J. R.
Figueira, “Hypervolume subset selection in two dimensions: Formulations and
algorithms,” Evolutionary Computation, vol. 24, no. 3, pp. 411--425,
2016.
[ DOI |
source code ]
|
|
[17]
|
D. Vaz, L. Paquete, C. M. Fonseca, K. Klamroth, and M. Stiglmayr,
“Representation of the non-dominated set in biobjective discrete
optimization,” Computers & Operations Research, vol. 63,
pp. 172--186, Nov. 2015.
[ DOI ]
|
|
[16]
|
J. P. Martins, C. M. Fonseca, and A. C. B. Delbem, “On the performance of
linkage-tree genetic algorithms for the multidimensional knapsack problem,”
Neurocomputing, vol. 146, pp. 17--29, Dec. 2014.
[ DOI ]
|
|
[15]
|
A. L. F. Cançado, A. R. Duarte, L. H. Duczmal, S. J. Ferreira, C. M.
Fonseca, and E. C. D. M. Gontijo, “Penalized likelihood and multi-objective
spatial scans for the detection and inference of irregular clusters,”
International Journal of Health Geographics, vol. 9, no. 55, 2010.
[ DOI ]
|
|
[14]
|
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, vol. 14, no. 2, pp. 206--226,
2010.
[ DOI ]
|
|
[13]
|
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, no. 5,
pp. 1075--1082, 2009.
[ DOI ]
|
|
[12]
|
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, no. 6, pp. 405--419, 2008.
[ DOI ]
|
|
[11]
|
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, no. 3, pp. 444--455, 2008.
[ DOI ]
|
|
[10]
|
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.
|
|
[9]
|
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, no. 4, pp. 531--545,
2004.
[ DOI ]
|
|
[8]
|
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, no. 3--4, pp. 551--579, 2003.
[ DOI ]
|
|
[7]
|
J. Hüsler, P. Cruz, A. Hall, and C. M. Fonseca, “On optimization and
extreme value theory,” Methodology and Computing in Applied
Probability, vol. 5, no. 2, pp. 183--195, 2003.
[ DOI ]
|
|
[6]
|
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,
no. 2, pp. 117--132, 2003.
[ DOI ]
|
|
[5]
|
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, no. 2,
pp. 179--182, 2002.
[ DOI ]
|
|
[4]
|
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, no. 1, pp. 38--47, 1998.
[ DOI ]
|
|
[3]
|
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, no. 1, pp. 26--37, 1998.
[ DOI ]
|
|
[2]
|
C. M. Fonseca and P. J. Fleming, “An overview of evolutionary algorithms in
multiobjective optimization,” Evolutionary Computation, vol. 3, no. 1,
pp. 1--16, 1995.
[ DOI |
http |
.pdf ]
|
|
[1]
|
C. M. Fonseca, “Bayesian estimation of the intensity of low level radiation
sources,” Jaderná Energie, vol. 37, no. 3, pp. 83--97, 1991.
|
|
[48]
|
L. E. Schäfer, T. Dietz, M. V. Natale, S. Ruzika, S. O. Krumke, and C. M.
Fonseca, “The bicriterion maximum flow network interdiction problem in
s-t-planar graphs,” in Operations Research Proceedings
2019, Selected Papers of the Annual International Conference of the German
Operations Research Society (GOR), Dresden, Germany, September 4-6, 2019
(J. S. Neufeld, U. Buscher, R. Lasch, D. Möst, and
J. Schönberger, eds.), pp. 133--139, Springer, 2020.
[ DOI ]
|
|
[47]
|
S. Rebelo, C. M. Fonseca, J. Bicker, and P. Machado, “Evolutionary experiments
in the development of typographical posters,” in Proceedings of the 6th
Conference on Computation, Communication, Aesthetics & X (A. Rangel,
L. Ribas, M. Verdicchio, and M. Carvalhais, eds.), (Madrid, Spain), 2018.
[ .pdf ]
|
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[46]
|
J. Macedo, C. M. Fonseca, and E. Costa, “Geometric crossover in syntactic
space,” in Genetic Programming, 21st European Conference, EuroGP 2018,
Proceedings (M. Castelli, L. Sekanina, M. Zhang, S. Cagnoni, and
P. García-Sánchez, eds.), vol. 10781 of Lecture Notes in
Computer Science, pp. 237--252, Switzerland: Springer International
Publishing, 2018.
[ DOI ]
|
|
[45]
|
I. Gonçalves, S. Silva, C. M. Fonseca, and M. Castelli, “Unsure when to
stop? Ask your semantic neighbors,” in Proceedings of the Genetic and
Evolutionary Computation Conference, GECCO '17, (Berlin, Germany),
pp. 929--936, ACM, 2017.
[ DOI |
http ]
|
|
[44]
|
K. Yang, M. Emmerich, A. Deutz, and C. M. Fonseca, “Computing 3-D expected
hypervolume improvement and related integrals in asymptotically optimal
time,” in Evolutionary Multi-Criterion Optimization, 9th International
Conference, EMO 2017. Proceedings (H. Trautmann, G. Rudolph, K. Klamroth,
O. Schütze, M. Wiecek, Y. Jin, and C. Grimme, eds.), vol. 10173 of
Lecture Notes in Computer Science, pp. 685--700, Cham, Switzerland: Springer
International Publishing, 2017.
[ DOI ]
|
|
[43]
|
C. R. Correa, E. F. Wanner, and C. M. Fonseca, “Lyapunov design of a simple
step-size adaptation strategy based on success,” in Parallel Problem
Solving from Nature -- PPSN XIV, 14th International Conference, Edinburgh,
UK, September 17-21, 2016, Proceedings (J. Handl, E. Hart, P. R. Lewis,
M. López-Ibáñez, G. Ochoa, and B. Paechter, eds.), vol. 9921 of
Lecture Notes in Computer Science, pp. 101--110, Cham, Switzerland:
Springer International Publishing, 2016.
[ DOI ]
|
|
[42]
|
A. P. Guerreiro and C. M. Fonseca, “Hypervolume Sharpe-ratio indicator:
Formalization and first theoretical results,” in Parallel Problem
Solving from Nature -- PPSN XIV, 14th International Conference, Edinburgh,
UK, September 17-21, 2016, Proceedings (J. Handl, E. Hart, P. R. Lewis,
M. López-Ibáñez, G. Ochoa, and B. Paechter, eds.), vol. 9921 of
Lecture Notes in Computer Science, pp. 814--823, Cham, Switzerland:
Springer International Publishing, 2016.
[ DOI |
.pdf ]
|
|
[41]
|
I. Gonçalves, S. Silva, and C. M. Fonseca, “Semantic learning machine: A
feedforward neural network construction algorithm inspired by geometric
semantic genetic programming,” in Progress in Artificial Intelligence,
17th Portuguese Conference on Artificial Intelligence, EPIA 2015
(F. Pereira, P. Machado, E. Costa, and A. Cardoso, eds.), vol. 9273 of
Lecture Notes in Computer Science, pp. 280--285, Cham, Switzerland: Springer
International Publishing, 2015.
[ DOI ]
|
|
[40]
|
A. P. Guerreiro, C. M. Fonseca, and L. Paquete, “Greedy hypervolume subset
selection in the three-objective case,” in Proceedings of the 2015
Genetic and Evolutionary Computation Conference, GECCO '15, (Madrid, Spain),
pp. 671--678, ACM, 2015.
EMO Track Best Paper Award.
[ DOI |
source code |
http ]
|
|
[39]
|
I. Gonçalves, S. Silva, and C. M. Fonseca, “On the generalization ability
of geometric semantic genetic programming,” in Genetic Programming,
18th European Conference, EuroGP 2015, Proceedings (P. Machado, M. I.
Heywood, J. McDermott, M. Castelli, P. García-Sánchez, P. Burelli,
S. Risi, and K. Sim, eds.), vol. 9025 of Lecture Notes in Computer
Science, pp. 41--52, Switzerland: Springer International Publishing, 2015.
[ DOI ]
|
|
[38]
|
R. F. Alexandre, F. C. Pinto, J. A. de Vasconcelos, and C. M. Fonseca, “A
comparative study of algorithms for solving the multiobjective open-pit
mining operational planning problems,” in Evolutionary Multi-Criterion
Optimization. 8th International Conference, EMO 2015. Proceedings, Part II
(A. Gaspar-Cunha, C. Henggeler Antunes, and C. Coello Coello, eds.),
vol. 9019 of Lecture Notes in Computer Science, pp. 433--447,
Switzerland: Springer International Publishing, 2015.
[ DOI ]
|
|
[37]
|
I. Yevseyeva, A. P. Guerreiro, M. T. M. Emmerich, and C. M. Fonseca, “A
portfolio optimization approach to selection in multiobjective evolutionary
algorithms,” in Parallel Problem Solving from Nature -- PPSN XIII, 13th
International Conference, Ljubljana, Slovenia, September 13-17, 2014,
Proceeedings (T. Bartz-Beielstein, J. Branke, B. Filipič, and J. Smith,
eds.), vol. 8672 of Lecture Notes in Computer Science, pp. 672--681,
Springer International Publishing Switzerland, 2014.
[ DOI |
.pdf ]
|
|
[36]
|
A. P. Guerreiro, C. M. Fonseca, and M. T. M. Emmerich, “A fast dimension-sweep
algorithm for the hypervolume indicator in four dimensions,” in
Proceedings of the 24th Canadian Conference on Computational Geometry (CCCG
2012), (Charlottetown, Prince Edward Island, Canada), Aug. 2012.
[ source code |
.pdf ]
|
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[35]
|
V. Grunert da Fonseca and C. M. Fonseca, “The relationship between the covered
fraction, completeness and hypervolume indicators,” in Artificial
Evolution, 10th International Conference, Evolution Artificielle, EA 2011,
Angers, France, October 24-26, 2011, Revised Selected Papers (J.-K. Hao,
P. Legrand, P. Collet, N. Monmarché, E. Lutton, and M. Schoenauer, eds.),
vol. 7401 of Lecture Notes in Computer Science, pp. 25--36, Berlin:
Springer, 2012.
[ DOI |
.pdf ]
|
|
[34]
|
M. T. M. Emmerich and C. M. Fonseca, “Computing hypervolume contributions in
low dimensions: Asymptotically optimal algorithm and complexity results,” in
Evolutionary Multi-Criterion Optimization. Sixth International
Conference, EMO 2011 (R. H. C. Takahashi, K. Deb, E. F. Wanner, and
S. Greco, eds.), vol. 6576 of Lecture Notes in Computer Science,
pp. 121--135, Berlin: Springer, 2011.
[ DOI |
source code ]
|
|
[33]
|
C. M. Fonseca, A. P. Guerreiro, M. López-Ibáñez, and L. Paquete,
“On the computation of the empirical attainment function,” in
Evolutionary Multi-Criterion Optimization. Sixth International Conference,
EMO 2011 (R. H. C. Takahashi, K. Deb, E. F. Wanner, and S. Greco, eds.),
vol. 6576 of Lecture Notes in Computer Science, pp. 106--120, Berlin:
Springer, 2011.
[ DOI |
source code |
.pdf ]
|
|
[32]
|
J. C. Ferreira, C. M. Fonseca, and A. Gaspar-Cunha, “Assessing the quality of
the relation beetween scalarizing function parameters and solutions in
multiobjective optimization,” in CEC '09, IEEE Congress on Evolutionary
Computation, (Trondheim, Norway), pp. 1131--1136, July 2009.
[ DOI ]
|
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[31]
|
R. T. N. Cardoso, R. H. C. Takahashi, F. R. B. Cruz, and C. M. Fonseca, “A
multi-quantile approach for open-loop stochastic dynamic programming
problems,” in IFAC Workshop on Control Applications of Optimization
(CAO'09), (Jyväskylä, Finland), May 2009.
6 pages.
[ DOI ]
|
|
[30]
|
R. T. N. Cardoso, R. H. C. Takahashi, and C. M. Fonseca, “An open-loop
invariant-set approach for multiobjective dynamic programming problems,” in
IFAC Workshop on Control Applications of Optimization (CAO'09),
(Jyväskylä, Finland), May 2009.
6 pages.
[ DOI ]
|
|
[29]
|
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, Northern Ireland), Aug. 2008.
4 pages.
[ .pdf ]
|
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[28]
|
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.
[ DOI |
http ]
|
|
[27]
|
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 ]
|
|
[26]
|
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 ]
|
|
[25]
|
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.
[ DOI |
http ]
|
|
[24]
|
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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[23]
|
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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[22]
|
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 ]
|
|
[21]
|
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 ]
|
|
[20]
|
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.
|
|
[19]
|
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.
[ DOI |
source code ]
|
|
[18]
|
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 ]
|
|
[17]
|
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.
|
|
[16]
|
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 ]
|
|
[15]
|
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 ]
|
|
[14]
|
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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[13]
|
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.
|
|
[12]
|
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 |
.pdf ]
|
|
[11]
|
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.
|
|
[10]
|
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 ]
|
|
[9]
|
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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[8]
|
M. A. Hossain, M. O. Tokhi, A. J. Chipperfield, M. J. Baxter, C. M. Fonseca,
and N. V. Dakev, “Adaptive active vibration control using genetic
algorithms,” in First IEE/IEEE International Conference on Genetic
Algorithms in Engineering Systems: Innovations and Applications, (Sheffield,
U.K.), pp. 175--180, The Institution of Electrical Engineers, 1995.
[ DOI ]
|
|
[7]
|
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.
[ DOI ]
|
|
[6]
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A. J. Chipperfield, P. J. Fleming, and C. M. Fonseca, “Genetic algorithm tools
for control systems engineering,” in Proceedings of the First
International Conference on Adaptive Computing in Engineering Design and
Control, (Plymouth Engineering Design Centre, U.K.), pp. 128--133, 1994.
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[5]
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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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[4]
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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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[3]
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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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[2]
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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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[1]
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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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[11]
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A. P. Guerreiro, K. Klamroth, and C. M. Fonseca, “Theoretical aspects of
subset selection in multi-objective optimisation,” in Many-Criteria
Optimization and Decision Analysis (D. Brockhoff, M. Emmerich, B. Naujoks,
and R. Purshouse, eds.), Natural Computing Series, ch. 8, pp. 213--239,
Springer Cham, 2023.
[ DOI ]
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[10]
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M. Emmerich, K. Yang, A. Deutz, H. Wang, and C. M. Fonseca, “A multicriteria
generalization of Bayesian global optimization,” in Advances in
Stochastic and Deterministic Global Optimization (P. M. Pardalos,
A. Zhigljavsky, and J. Žilinskas, eds.), vol. 107 of Springer
Optimization and Its Applications, pp. 229--242, Springer International
Publishing, 2016.
[ DOI ]
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[9]
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A. Gaspar-Cunha, J. Ferreira, J. A. Covas, and C. Fonseca, “Extending
optimization algorithms to complex engineering problems,” in
Optimization in Polymer Processing (A. Gaspar-Cunha and J. A. Covas, eds.),
Chemical Engineering Methdos and Technology, ch. 4, pp. 59--83, New York:
Nova Science Publishers, 2011.
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[8]
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V. Grunert da Fonseca and C. M. Fonseca, “The attainment-function approach to
stochastic multiobjective optimizer assessment and comparison,” in
Experimental Methods for the Analysis of Optimization Algorithms
(T. Bartz-Beielstein, M. Chiarandini, L. Paquete, and M. Preuss, eds.),
ch. 5, pp. 103--130, Springer Berlin Heidelberg, 2010.
[ DOI ]
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[7]
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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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[6]
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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.
[ DOI ]
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[5]
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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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[3]
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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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[2]
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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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[1]
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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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