-
1
-
-
0242487787
-
Optknock: A bilevel programming framework for identifying gene knockout strategies for microbial strain optimization
-
A.P. Burgard, P. Pharya, and C.D. Maranas. Optknock: A bilevel programming framework for identifying gene knockout strategies for microbial strain optimization. Biotechnol Bioeng, 84:647-657, 2003.
-
(2003)
Biotechnol Bioeng
, vol.84
, pp. 647-657
-
-
Burgard, A.P.1
Pharya, P.2
Maranas, C.D.3
-
2
-
-
0037025146
-
Dynamic modeling of the central carbon metabolism of escherichia coli
-
C. Chassagnole, N. Noisommit-Rizzi, J.W. Schmid, K. Mauch, and M. Reuss. Dynamic modeling of the central carbon metabolism of escherichia coli. Biotechnology and Bioengineering, 79(1):53-73, 2002.
-
(2002)
Biotechnology and Bioengineering
, vol.79
, Issue.1
, pp. 53-73
-
-
Chassagnole, C.1
Noisommit-Rizzi, N.2
Schmid, J.W.3
Mauch, K.4
Reuss, M.5
-
3
-
-
85133775397
-
A Comprehensive Survey of Evolutionary-Based Multiobjective Optimization Techniques
-
C.A.C. Coello. A Comprehensive Survey of Evolutionary-Based Multiobjective Optimization Techniques. Knowledge and Information Systems, 1(3):129-156, 1999.
-
(1999)
Knowledge and Information Systems
, vol.1
, Issue.3
, pp. 129-156
-
-
Coello, C.A.C.1
-
4
-
-
0035281870
-
Metabolic modeling of microbial strains in silico
-
M.W. Covert, C.H. Schilling, I. Famili, J.S. Edwards, I.I. Goryanin, E. Selkov, and B.O. Palsson. Metabolic modeling of microbial strains in silico. Trends in Biochemical Sciences, 26(3):179-186, 2001.
-
(2001)
Trends in Biochemical Sciences
, vol.26
, Issue.3
, pp. 179-186
-
-
Covert, M.W.1
Schilling, C.H.2
Famili, I.3
Edwards, J.S.4
Goryanin, I.I.5
Selkov, E.6
Palsson, B.O.7
-
6
-
-
84947926042
-
-
K. Deb, S. Agrawal, A. Pratap, and T. Meyarivan. A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Opti- mization: NSGA-II. Proceedings ofthe Parallel Problem Solving from Nature VI Conference, pages 849-858, 2000.
-
K. Deb, S. Agrawal, A. Pratap, and T. Meyarivan. A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Opti- mization: NSGA-II. Proceedings ofthe Parallel Problem Solving from Nature VI Conference, pages 849-858, 2000.
-
-
-
-
7
-
-
0036530772
-
A fast and elitist multiobjective genetic algorithm: NSGA-II
-
K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan. A fast and elitist multiobjective genetic algorithm: NSGA-II. Evolutionary Computa- tion, IEEE Transactions on, 6(2):182-197, 2002.
-
(2002)
Evolutionary Computa- tion, IEEE Transactions on
, vol.6
, Issue.2
, pp. 182-197
-
-
Deb, K.1
Pratap, A.2
Agarwal, S.3
Meyarivan, T.4
-
8
-
-
67549109113
-
-
J.J. Durillo, A.J. Nebro, F. Luna, B. Dorronsoro, and E. Alba. jMetal: A Java Framework for Developing Multi-Objective Optimiza- tion Metaheuristics. Technical report, Technical Report ITI-2006-10, Departamento de Lenguajes y Ciencias de la Computacion, University of Malaga, ETSI Informatica, Campus de Teatinos, December 2006.
-
J.J. Durillo, A.J. Nebro, F. Luna, B. Dorronsoro, and E. Alba. jMetal: A Java Framework for Developing Multi-Objective Optimiza- tion Metaheuristics. Technical report, Technical Report ITI-2006-10, Departamento de Lenguajes y Ciencias de la Computacion, University of Malaga, ETSI Informatica, Campus de Teatinos, December 2006.
-
-
-
-
9
-
-
0003953570
-
Mathematical Physics
-
London, England
-
F.Y. Edgeworth. Mathematical Physics. P. Keagan, London, England, 1881.
-
(1881)
P. Keagan
-
-
Edgeworth, F.Y.1
-
10
-
-
0037079023
-
Escherichia coli k-12 undergoes adaptive evolution to achieve in silico predicted optimal growth
-
R.U. Ibarra, J.S. Edwards, and B.G. Palsson. Escherichia coli k-12 undergoes adaptive evolution to achieve in silico predicted optimal growth. Nature, 420:186-189, 2002.
-
(2002)
Nature
, vol.420
, pp. 186-189
-
-
Ibarra, R.U.1
Edwards, J.S.2
Palsson, B.G.3
-
12
-
-
0642343749
-
In silico metabolic pathway anal- ysis and design: Succinic acid production by metabolically engineered escherichia coli as an example
-
S.Y. Lee, S.H. Hong, and S.Y. Moon. In silico metabolic pathway anal- ysis and design: succinic acid production by metabolically engineered escherichia coli as an example. Genome Informatics, 13:214-223, 2002.
-
(2002)
Genome Informatics
, vol.13
, pp. 214-223
-
-
Lee, S.Y.1
Hong, S.H.2
Moon, S.Y.3
-
14
-
-
67549113673
-
Cours D'Economie Politique, volume I and II
-
V. Pareto. Cours D'Economie Politique, volume I and II. F. Rouge, Lausanne, 250, 1896.
-
(1896)
F. Rouge, Lausanne
, vol.250
-
-
Pareto, V.1
-
15
-
-
30044437327
-
Evolutionary programming as a platform for in silico metabolic engineering
-
K. Patil, I. Rocha, J. Forster, and J. Nielsen. Evolutionary programming as a platform for in silico metabolic engineering. BMC Bioinformatics, 6(308), 2005.
-
(2005)
BMC Bioinformatics
, vol.6
, Issue.308
-
-
Patil, K.1
Rocha, I.2
Forster, J.3
Nielsen, J.4
-
16
-
-
0344328817
-
-
J.L. Reed, T.D. Vo, C.H. Schilling, and B.O. Palsson. An expanded genome-scale model of escherichia coli k-12 (ijr904 gsm/gpr). Genome Biology, 4(9):R54.1-R54.12, 2003.
-
J.L. Reed, T.D. Vo, C.H. Schilling, and B.O. Palsson. An expanded genome-scale model of escherichia coli k-12 (ijr904 gsm/gpr). Genome Biology, 4(9):R54.1-R54.12, 2003.
-
-
-
-
17
-
-
38349011053
-
Evaluating simulated annealing algorithms in the optimization of bacterial strains
-
M. Rocha, R. Mendes, P. Maia, J.P. Pinto, I. Rocha, and E.C. Ferreira. Evaluating simulated annealing algorithms in the optimization of bacterial strains. LECTURE NOTES IN COMPUTER SCIENCE, 4874:473, 2007.
-
(2007)
LECTURE NOTES IN COMPUTER SCIENCE
, vol.4874
, pp. 473
-
-
Rocha, M.1
Mendes, R.2
Maia, P.3
Pinto, J.P.4
Rocha, I.5
Ferreira, E.C.6
-
18
-
-
38349027647
-
Optimization of Bacterial Strains with Variable-Sized Evolutionary Algorithms
-
Honolulu, USA, IEEE Press
-
M. Rocha, J.P. Pinto, I. Rocha, and E.C. Ferreira. Optimization of Bacterial Strains with Variable-Sized Evolutionary Algorithms. In Proceedings ofthe IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, pages 331-337, Honolulu, USA, 2007. IEEE Press.
-
(2007)
Proceedings ofthe IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology
, pp. 331-337
-
-
Rocha, M.1
Pinto, J.P.2
Rocha, I.3
Ferreira, E.C.4
-
21
-
-
0037069467
-
Analysis of optimality in natural and perturbed metabolic networks
-
D. Segre, D. Vitkup, and G.M. Church. Analysis of optimality in natural and perturbed metabolic networks. Proceedings ofthe National Academy ofSciences, 99(23):15112, 2002
-
(2002)
Proceedings ofthe National Academy ofSciences
, vol.99
, Issue.23
, pp. 15112
-
-
Segre, D.1
Vitkup, D.2
Church, G.M.3
-
22
-
-
0000852513
-
Muiltiobjective Optimization Using Non- dominated Sorting in Genetic Algorithms
-
N. Srinivas and K. Deb. Muiltiobjective Optimization Using Non- dominated Sorting in Genetic Algorithms. Evolutionary Computation, 2(3):221-248, 1994.
-
(1994)
Evolutionary Computation
, vol.2
, Issue.3
, pp. 221-248
-
-
Srinivas, N.1
Deb, K.2
-
24
-
-
67549092983
-
-
David Allen Van Veldhuizen. Multiobjective evolutionary algorithms: classifications, analyses, and new innovations. PhD thesis, Wright Patterson AFB, OH, USA, 1999. Adviser-Gary B. Lamont.
-
David Allen Van Veldhuizen. Multiobjective evolutionary algorithms: classifications, analyses, and new innovations. PhD thesis, Wright Patterson AFB, OH, USA, 1999. Adviser-Gary B. Lamont.
-
-
-
-
25
-
-
2942547409
-
SPEA2: Improving the Strength Pareto Evolutionary Algorithm
-
E. Zitzler, M. Laumanns, L. Thiele, et al. SPEA2: Improving the Strength Pareto Evolutionary Algorithm. EUROGEN, pages 95-100, 2001.
-
(2001)
EUROGEN
, pp. 95-100
-
-
Zitzler, E.1
Laumanns, M.2
Thiele, L.3
-
26
-
-
0033318858
-
Multiobjective evolutionary algorithms: A comparative case studyand the strength Pareto approach
-
E. Zitzler and L. Thiele. Multiobjective evolutionary algorithms: a comparative case studyand the strength Pareto approach. Evolutionary Computation, IEEE Transactions on, 3(4):257-271, 1999.
-
(1999)
Evolutionary Computation, IEEE Transactions on
, vol.3
, Issue.4
, pp. 257-271
-
-
Zitzler, E.1
Thiele, L.2
|