-
1
-
-
35048870158
-
Real-coded Bayesian optimization algorithm: Bringing the strength of BOA into the continuous world
-
Ahn, C. W., Ramakrishna, R. S., & Goldberg, G. (2004). Real-coded Bayesian optimization algorithm: Bringing the strength of BOA into the continuous world. Genetic and Evolutionary Computation Conference (GECCO-2004), 3102, 840-851.
-
(2004)
Genetic and Evolutionary Computation Conference (GECCO-2004)
, vol.3102
, pp. 840-851
-
-
Ahn, C.W.1
Ramakrishna, R.S.2
Goldberg, G.3
-
2
-
-
0024735689
-
Classifier systems and genetic algorithms
-
Booker, L. B., Goldberg, D. E., & Holland, J. H. (1989). Classifier systems and genetic algorithms. Artificial Intelligence, 40, 235-282.
-
(1989)
Artificial Intelligence
, vol.40
, pp. 235-282
-
-
Booker, L.B.1
Goldberg, D.E.2
Holland, J.H.3
-
3
-
-
4344658722
-
-
(Utrecht University Technical Report UU-CS-2000-45). Utrecht, Netherlands: Utrecht University
-
Bosman, P. A., & Thierens, D. (2000). Mixed IDEAs (Utrecht University Technical Report UU-CS-2000-45). Utrecht, Netherlands: Utrecht University.
-
(2000)
Mixed IDEAs
-
-
Bosman, P.A.1
Thierens, D.2
-
6
-
-
27144439968
-
-
Doctoral dissertation, University of Illinois at UrbanaChampaign, Urbana, IL
-
Butz, M. V. (2004b). Rule-based evolutionary online learning systems: Learning bounds, classification, and prediction. Doctoral dissertation, University of Illinois at UrbanaChampaign, Urbana, IL.
-
(2004)
Rule-based Evolutionary Online Learning Systems: Learning Bounds, Classification, and Prediction
-
-
Butz, M.V.1
-
8
-
-
35048827095
-
Bounding learning time in XCS
-
Butz, M. V., Goldberg, D. E., & Lanzi, P. L. (2004). Bounding learning time in XCS. Proceedings of the Sixth Genetic and Evolutionary Computation Conference (GECCO2004): Part II, 739-750.
-
(2004)
Proceedings of the Sixth Genetic and Evolutionary Computation Conference (GECCO2004): Part II
, pp. 739-750
-
-
Butz, M.V.1
Goldberg, D.E.2
Lanzi, P.L.3
-
9
-
-
32444436436
-
-
(IlliGAL report 2004033). University of Illinois at Urbana-Champaign: Illinois Genetic Algorithms Laboratory
-
Butz, M. V., Goldberg, D. E., Lanzi, P. L., & Sastry, K. (2004). Bounding the population size to ensure niche support in XCS (IlliGAL report 2004033). University of Illinois at Urbana-Champaign: Illinois Genetic Algorithms Laboratory.
-
(2004)
Bounding the Population Size to Ensure Niche Support in XCS
-
-
Butz, M.V.1
Goldberg, D.E.2
Lanzi, P.L.3
Sastry, K.4
-
10
-
-
23144448210
-
The anticipatory classifier system and genetic generalization
-
Butz, M. V., Goldberg, D. E., & Stolzmann, W. (2002). The anticipatory classifier system and genetic generalization. Natural Computing, 1, 427-467.
-
(2002)
Natural Computing
, vol.1
, pp. 427-467
-
-
Butz, M.V.1
Goldberg, D.E.2
Stolzmann, W.3
-
11
-
-
0041780883
-
Analysis and improvement of fitness exploitation in XCS: Bounding models, tournament selection, and bilateral accuracy
-
Butz, M. V., Goldberg, D. E., & Tharakunnel, K. (2003). Analysis and improvement of fitness exploitation in XCS: Bounding models, tournament selection, and bilateral accuracy. Evolutionary Computation, 11, 239-277.
-
(2003)
Evolutionary Computation
, vol.11
, pp. 239-277
-
-
Butz, M.V.1
Goldberg, D.E.2
Tharakunnel, K.3
-
12
-
-
0042142970
-
How XCS evolves accurate classifiers
-
Butz, M. V., Kovacs, T., Lanzi, P. L., & Wilson, S. W. (2001). How XCS evolves accurate classifiers. Proceedings of the Third Genetic and Evolutionary Computation Conference (GECCO-2001), 927-934.
-
(2001)
Proceedings of the Third Genetic and Evolutionary Computation Conference (GECCO-2001)
, pp. 927-934
-
-
Butz, M.V.1
Kovacs, T.2
Lanzi, P.L.3
Wilson, S.W.4
-
13
-
-
1542376540
-
Toward a theory of generalization and learning in XCS
-
Butz, M. V., Kovacs, T., Lanzi, P. L., & Wilson, S. W. (2004). Toward a theory of generalization and learning in XCS. IEEE Transactions on Evolutionary Computation, 8, 28-46.
-
(2004)
IEEE Transactions on Evolutionary Computation
, vol.8
, pp. 28-46
-
-
Butz, M.V.1
Kovacs, T.2
Lanzi, P.L.3
Wilson, S.W.4
-
15
-
-
35248882041
-
Tournament selection in XCS
-
Butz, M. V., Sastry, K., & Goldberg, D. E. (2003). Tournament selection in XCS. Proceedings of the Fifth Genetic and Evolutionary Computation Conference (GECCO-2003,), 1857-1869.
-
(2003)
Proceedings of the Fifth Genetic and Evolutionary Computation Conference (GECCO-2003,)
, pp. 1857-1869
-
-
Butz, M.V.1
Sastry, K.2
Goldberg, D.E.3
-
16
-
-
84942854203
-
An algorithmic description of XCS
-
Lanzi, P. L., Stolzmann, W., & Wilson, S. W. (Eds.), Berlin Heidelberg: Springer-Verlag
-
Butz, M. V., & Wilson, S. W. (2001). An algorithmic description of XCS. In Lanzi, P. L., Stolzmann, W., & Wilson, S. W. (Eds.), Advances in learning classifier systems: Third international workshop, IWLCS 2000 (LNAI1996) (pp. 253-272). Berlin Heidelberg: Springer-Verlag.
-
(2001)
Advances in Learning Classifier Systems: Third International Workshop, IWLCS 2000 (LNAI1996)
, pp. 253-272
-
-
Butz, M.V.1
Wilson, S.W.2
-
17
-
-
0011843617
-
-
(Technical Report MSR-TR-97-07). Redmond, WA: Microsoft Research
-
Chickering, D. M., Heckerman, D., & Meek, C. (1997). A Bayesian approach to learning Bayesian networks with local structure (Technical Report MSR-TR-97-07). Redmond, WA: Microsoft Research.
-
(1997)
A Bayesian Approach to Learning Bayesian Networks with Local Structure
-
-
Chickering, D.M.1
Heckerman, D.2
Meek, C.3
-
18
-
-
34249832377
-
A Bayesian method for the induction of probabilistic networks from data
-
Cooper, G. F., & Herskovits, E. H. (1992). A Bayesian method for the induction of probabilistic networks from data. Machine Learning, 9, 309-347.
-
(1992)
Machine Learning
, vol.9
, pp. 309-347
-
-
Cooper, G.F.1
Herskovits, E.H.2
-
20
-
-
0000220520
-
Learning Bayesian networks with local structure
-
Jordan, M. I. (Ed.), Cambridge, MA: MIT Press
-
Friedman, N., & Goldszmidt, M. (1999). Learning Bayesian networks with local structure. In Jordan, M. I. (Ed.), Graphical models (pp. 421-459). Cambridge, MA: MIT Press.
-
(1999)
Graphical Models
, pp. 421-459
-
-
Friedman, N.1
Goldszmidt, M.2
-
24
-
-
0003738581
-
-
(IlliGAL report 99010). University of Illinois at Urbana-Champaign: Illinois Genetic Algorithms Laboratory
-
Harik, G. (1999). Linkage learning via probabilistic modeling in the ECGA (IlliGAL report 99010). University of Illinois at Urbana-Champaign: Illinois Genetic Algorithms Laboratory.
-
(1999)
Linkage Learning Via Probabilistic Modeling in the ECGA
-
-
Harik, G.1
-
25
-
-
0030707244
-
The gambler's ruin problem, genetic algorithms, and the sizing of populations
-
Also IlliGAL Report No. 96004
-
Harik, G. R., Cantú-Paz, E., Goldberg, D. E., & Miller, B. L. (1997). The gambler's ruin problem, genetic algorithms, and the sizing of populations. Proceedings of the International Conference on Evolutionary Computation (ICEC-97), 7-12. Also IlliGAL Report No. 96004.
-
(1997)
Proceedings of the International Conference on Evolutionary Computation (ICEC-97)
, pp. 7-12
-
-
Harik, G.R.1
Cantú-Paz, E.2
Goldberg, D.E.3
Miller, B.L.4
-
26
-
-
0003846045
-
-
(Technical Report MSR-TR-94-09). Redmond, WA: Microsoft Research
-
Heckerman, D., Geiger, D., & Chickering, D. M. (1994). Learning Bayesian networks: The combination of knowledge and statistical data (Technical Report MSR-TR-94-09). Redmond, WA: Microsoft Research.
-
(1994)
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data
-
-
Heckerman, D.1
Geiger, D.2
Chickering, D.M.3
-
27
-
-
85012775611
-
Propagating uncertainty in Bayesian networks by probabilistic logic sampling
-
Lemmer, J. F., & Kanal, L. N. (Eds.), Amsterdam, London, New York: Elsevier
-
Henrion, M. (1988). Propagating uncertainty in Bayesian networks by probabilistic logic sampling. In Lemmer, J. F., & Kanal, L. N. (Eds.), Uncertainty in Artificial Intelligence (pp. 149-163). Amsterdam, London, New York: Elsevier.
-
(1988)
Uncertainty in Artificial Intelligence
, pp. 149-163
-
-
Henrion, M.1
-
29
-
-
0001666176
-
Cognitive systems based on adaptive algorithms
-
Waterman, D. A., & Hayes-Roth, F. (Eds.), New York: Academic Press
-
Holland, J. H., & Reitman, J. S. (1978). Cognitive systems based on adaptive algorithms. In Waterman, D. A., & Hayes-Roth, F. (Eds.), Pattern directed inference systems (pp. 313-329). New York: Academic Press.
-
(1978)
Pattern Directed Inference Systems
, pp. 313-329
-
-
Holland, J.H.1
Reitman, J.S.2
-
30
-
-
0000086731
-
Influence diagrams
-
Howard, R. A., & Matheson, J. E. (Eds.), Menlo Park, CA: Strategic Decisions Group
-
Howard, R. A., & Matheson, J. E. (1981). Influence diagrams. In Howard, R. A., & Matheson, J. E. (Eds.), Readings on the principles and applications of decision analysis, Volume II (pp. 721-762). Menlo Park, CA: Strategic Decisions Group.
-
(1981)
Readings on the Principles and Applications of Decision Analysis
, vol.2
, pp. 721-762
-
-
Howard, R.A.1
Matheson, J.E.2
-
31
-
-
0004199321
-
-
Master's thesis, School of Computer Science, University of Birmingham, Birmingham, U.K
-
Kovacs, T. (1996). Evolving optimal populations with XCS classifier systems. Master's thesis, School of Computer Science, University of Birmingham, Birmingham, U.K.
-
(1996)
Evolving Optimal Populations with XCS Classifier Systems
-
-
Kovacs, T.1
-
32
-
-
0042142968
-
XCS classifier system reliably evolves accurate, complete, and minimal representations for boolean functions
-
Roy, Chawdhry, & Pant (Eds.), Springer-Verlag, London
-
Kovacs, T. (1997). XCS classifier system reliably evolves accurate, complete, and minimal representations for boolean functions. In Roy, Chawdhry, & Pant (Eds.), Soft computing in engineering design and manufacturing (pp. 59-68). Springer-Verlag, London.
-
(1997)
Soft Computing in Engineering Design and Manufacturing
, pp. 59-68
-
-
Kovacs, T.1
-
34
-
-
4344693783
-
A review on estimation of distribution algorithms
-
Larrañaga, P., & Lozano, J. A. (Eds.), Chapter 3, Boston, MA: Kluwer Academic Publishers
-
Larrañaga, P. (2002). A review on estimation of distribution algorithms. In Larrañaga, P., & Lozano, J. A. (Eds.), Estimation of Distribution Algorithms (Chapter 3, pp. 57-100). Boston, MA: Kluwer Academic Publishers.
-
(2002)
Estimation of Distribution Algorithms
, pp. 57-100
-
-
Larrañaga, P.1
-
35
-
-
0000331692
-
Optimization in continuous domains by learning and simulation of Gaussian networks
-
Wu, A. (Ed.), San Fransisco, CA: Morgan Kaufmann
-
Larrañaga, P., Etxeberria, R., Lozano, J. A., & Pena, J. M. (2000). Optimization in continuous domains by learning and simulation of Gaussian networks. In Wu, A. (Ed.), Workshop Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000) (pp. 201-204). San Fransisco, CA: Morgan Kaufmann.
-
(2000)
Workshop Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000)
, pp. 201-204
-
-
Larrañaga, P.1
Etxeberria, R.2
Lozano, J.A.3
Pena, J.M.4
-
37
-
-
32444445337
-
-
(IlliGAL report 99016). University of Illinois at Urbana-Champaign: Illinois Genetic Algorithms Laboratory
-
Lobo, F., & Harik, G. (1999). Extended compact genetic algorithm in C++ (IlliGAL report 99016). University of Illinois at Urbana-Champaign: Illinois Genetic Algorithms Laboratory.
-
(1999)
Extended Compact Genetic Algorithm in C++
-
-
Lobo, F.1
Harik, G.2
-
39
-
-
0002091030
-
How genetic algorithms really work: I.Mutation and Hillclimbing
-
Männer, R., & Manderick, B. (Eds.), North Holland
-
Mühlenbein, H. (1992b). How genetic algorithms really work: I.Mutation and Hillclimbing. In Männer, R., & Manderick, B. (Eds.), Parallel Problem Solving from Nature- PPSN II (pp. 15-25). North Holland.
-
(1992)
Parallel Problem Solving from Nature- PPSN II
, pp. 15-25
-
-
Mühlenbein, H.1
-
40
-
-
0003140039
-
Predictive models for the breeder genetic algorithm: I. Continuous parameter optimization
-
Mühlenbein, H., & Schlierkamp-Voosen, D. (1993). Predictive models for the breeder genetic algorithm: I. Continuous parameter optimization. Evolutionary Computation, 1(1), 25-49.
-
(1993)
Evolutionary Computation
, vol.1
, Issue.1
, pp. 25-49
-
-
Mühlenbein, H.1
Schlierkamp-Voosen, D.2
-
41
-
-
84958959530
-
From recombination of genes to the estimation of distributions: Binary parameters
-
Voigt, H.-M. et al. (Eds.), Springer Verlag
-
Mühlenbein, T. M., & Paas, G. (1996). From recombination of genes to the estimation of distributions: Binary parameters. In Voigt, H.-M. et al. (Eds.), Parallel Problem Solving from Nature IV, LNCS 1411 (pp. 178-187). Springer Verlag.
-
(1996)
Parallel Problem Solving from Nature IV, LNCS
, vol.1411
, pp. 178-187
-
-
Mühlenbein, T.M.1
Paas, G.2
-
45
-
-
0011801192
-
-
Doctoral dissertation, University of Illinois at Urbana-Champaign, Urbana, IL. Also IlliGAL Report No. 2002023
-
Pelikan, M. (2002). Bayesian optimization algorithm: From single level to hierarchy. Doctoral dissertation, University of Illinois at Urbana-Champaign, Urbana, IL. Also IlliGAL Report No. 2002023.
-
(2002)
Bayesian Optimization Algorithm: from Single Level to Hierarchy
-
-
Pelikan, M.1
-
47
-
-
0001171707
-
BOA: The Bayesian optimization algorithm
-
Pelikan, M., Goldberg, D. E., & Cantu-Paz, E. (1999). BOA: The Bayesian optimization algorithm. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-99), 525-532.
-
(1999)
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-99)
, pp. 525-532
-
-
Pelikan, M.1
Goldberg, D.E.2
Cantu-Paz, E.3
-
48
-
-
0036180213
-
A survey of optimization by building and using probabilistic models
-
Pelikan, M., Goldberg, D. E., & Lobo, F. (2002). A survey of optimization by building and using probabilistic models. Computational Optimization and Applications, 22(1), 5-20.
-
(2002)
Computational Optimization and Applications
, vol.22
, Issue.1
, pp. 5-20
-
-
Pelikan, M.1
Goldberg, D.E.2
Lobo, F.3
-
49
-
-
0141844529
-
Getting the best of both worlds: Discrete and continuous genetic and evolutionary algorithms in concert
-
Pelikan, M., Goldberg, D. E., & Tsutsui, S. (2003). Getting the best of both worlds: Discrete and continuous genetic and evolutionary algorithms in concert. Information Sciences, 156(3-4), 36-45.
-
(2003)
Information Sciences
, vol.156
, Issue.3-4
, pp. 36-45
-
-
Pelikan, M.1
Goldberg, D.E.2
Tsutsui, S.3
-
51
-
-
32444437721
-
-
(IlliGAL report 2000026). University of Illinois at Urbana-Champaign: Illinois Genetic Algorithms Laboratory
-
Sastry, K., & Goldberg, D. E. (2000). On extended compact genetic algorithm (IlliGAL report 2000026). University of Illinois at Urbana-Champaign: Illinois Genetic Algorithms Laboratory.
-
(2000)
On Extended Compact Genetic Algorithm
-
-
Sastry, K.1
Goldberg, D.E.2
-
54
-
-
0031650013
-
Domino convergence, drift, and the temporal-salience structure of problems
-
New York, NY: IEEE Press
-
Thierens, D., Goldberg, D. E., & Pereira, A. G. (1998a). Domino convergence, drift, and the temporal-salience structure of problems. In Proceedings of the 1998 IEEE World Congress on Computational Intelligence (pp. 535-540). New York, NY: IEEE Press.
-
(1998)
Proceedings of the 1998 IEEE World Congress on Computational Intelligence
, pp. 535-540
-
-
Thierens, D.1
Goldberg, D.E.2
Pereira, A.G.3
-
55
-
-
0031650013
-
Domino convergence, drift, and the temporal-salience structure of problems
-
Thierens, D., Goldberg, D. E., & Pereira, A. G. (1998b). Domino convergence, drift, and the temporal-salience structure of problems. Proceedings of the International Conference on Evolutionary Computation (ICEC-98), 535-540.
-
(1998)
Proceedings of the International Conference on Evolutionary Computation (ICEC-98)
, pp. 535-540
-
-
Thierens, D.1
Goldberg, D.E.2
Pereira, A.G.3
-
56
-
-
0001387704
-
Classifier fitness based on accuracy
-
Wilson, S. W. (1995). Classifier fitness based on accuracy. Evolutionary Computation, 3(2), 149-175.
-
(1995)
Evolutionary Computation
, vol.3
, Issue.2
, pp. 149-175
-
-
Wilson, S.W.1
-
58
-
-
0042643357
-
Get real! XCS with continuous-valued inputs
-
Lanzi, P. L., Stolzmann, W., & Wilson, S. W. (Eds.), Berlin Heidelberg: Springer-Verlag
-
Wilson, S. W. (2000). Get real! XCS with continuous-valued inputs. In Lanzi, P. L., Stolzmann, W., & Wilson, S. W. (Eds.), Learning classifier systems: From foundations to applications (LNAI1813) (pp. 209-219). Berlin Heidelberg: Springer-Verlag.
-
(2000)
Learning Classifier Systems: from Foundations to Applications (LNAI1813)
, pp. 209-219
-
-
Wilson, S.W.1
-
59
-
-
84942897286
-
Mining oblique data with XCS
-
Lanzi, P. L., Stolzmann, W., & Wilson, S. W. (Eds.), Berlin Heidelberg: SpringerVerlag
-
Wilson, S. W. (2001). Mining oblique data with XCS. In Lanzi, P. L., Stolzmann, W., & Wilson, S. W. (Eds.), Advances in learning classifier systems: Third international workshop, IWLCS 2000 (LNAI 1996) (pp. 158-174). Berlin Heidelberg: SpringerVerlag.
-
(2001)
Advances in Learning Classifier Systems: Third International Workshop, IWLCS 2000 (LNAI 1996)
, pp. 158-174
-
-
Wilson, S.W.1
|