Erick Cantú-Paz

2008
40	EE	Francisco Fernández de Vega, Erick Cantú-Paz: Special issue on distributed bioinspired algorithms. Soft Comput. 12(12): 1143-1144 (2008)
2007
39	EE	Erick Cantú-Paz: Parameter Setting in Parallel Genetic Algorithms. Parameter Setting in Evolutionary Algorithms 2007: 259-276
2006
38		Martin Pelikan, Kumara Sastry, Erick Cantú-Paz: Scalable Optimization via Probabilistic Modeling Springer 2006
37	EE	Martin Pelikan, Kumara Sastry, Erick Cantú-Paz: Introduction. Scalable Optimization via Probabilistic Modeling 2006: 1-10
36	EE	Jiri Ocenasek, Erick Cantú-Paz, Martin Pelikan, Josef Schwarz: Design of Parallel Estimation of Distribution Algorithms. Scalable Optimization via Probabilistic Modeling 2006: 187-203
35	EE	Erick Cantú-Paz: Feature Subset Selection with Hybrids of Filters and Evolutionary Algorithms. Scalable Optimization via Probabilistic Modeling 2006: 291-314
34	EE	Francisco Fernández de Vega, Erick Cantú-Paz: Special issue on parallel bioinspired algorithms. J. Parallel Distrib. Comput. 66(8): 989-990 (2006)
2005
33	EE	Francisco Fernández de Vega, Erick Cantú-Paz: Message from the Chairs. ICPP Workshops 2005: 572
32	EE	James A. Foster, Erick Cantú-Paz: Introduction. Genetic Programming and Evolvable Machines 6(1): 5-6 (2005)
31	EE	Erick Cantú-Paz, Chandrika Kamath: An empirical comparison of combinations of evolutionary algorithms and neural networks for classification problems. IEEE Transactions on Systems, Man, and Cybernetics, Part B 35(5): 915-927 (2005)
2004
30	EE	Erick Cantú-Paz: Adaptive Sampling for Noisy Problems. GECCO (1) 2004: 947-958
29	EE	Erick Cantú-Paz: Feature Subset Selection, Class Separability, and Genetic Algorithms. GECCO (1) 2004: 959-970
28	EE	Erick Cantú-Paz, Shawn Newsam, Chandrika Kamath: Feature selection in scientific applications. KDD 2004: 788-793
27	EE	Francisco Fernández de Vega, Erick Cantú-Paz, J. I. López, T. Manzano: Saving Resources with Plagues in Genetic Algorithms. PPSN 2004: 272-281
2003
26		Erick Cantú-Paz, James A. Foster, Kalyanmoy Deb, Lawrence Davis, Rajkumar Roy, Una-May O'Reilly, Hans-Georg Beyer, Russell K. Standish, Graham Kendall, Stewart W. Wilson, Mark Harman, Joachim Wegener, Dipankar Dasgupta, Mitchell A. Potter, Alan C. Schultz, Kathryn A. Dowsland, Natasa Jonoska, Julian F. Miller: Genetic and Evolutionary Computation - GECCO 2003, Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003. Proceedings, Part I Springer 2003
25		Erick Cantú-Paz, James A. Foster, Kalyanmoy Deb, Lawrence Davis, Rajkumar Roy, Una-May O'Reilly, Hans-Georg Beyer, Russell K. Standish, Graham Kendall, Stewart W. Wilson, Mark Harman, Joachim Wegener, Dipankar Dasgupta, Mitchell A. Potter, Alan C. Schultz, Kathryn A. Dowsland, Natasa Jonoska, Julian F. Miller: Genetic and Evolutionary Computation - GECCO 2003, Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003. Proceedings, Part II Springer 2003
24	EE	Erick Cantú-Paz: Pruning Neural Networks with Distribution Estimation Algorithms. GECCO 2003: 790-800
23	EE	Erick Cantú-Paz, David E. Goldberg: Are Multiple Runs of Genetic Algorithms Better than One? GECCO 2003: 801-812
22		Erick Cantú-Paz, Chandrika Kamath: Inducing oblique decision trees with evolutionary algorithms. IEEE Trans. Evolutionary Computation 7(1): 54-68 (2003)
21	EE	Erick Cantú-Paz, Chandrika Kamath: Evolving neural networks to identify bent-double galaxies in the FIRST survey. Neural Networks 16(3-4): 507-517 (2003)
2002
20		Erick Cantú-Paz: Late Breaking papers at the Genetic and Evolutionary Computation Conference (GECCO-2002), New York, USA, 9-13 July 2002 AAAI 2002
19		William B. Langdon, Erick Cantú-Paz, Keith E. Mathias, Rajkumar Roy, David Davis, Riccardo Poli, Karthik Balakrishnan, Vasant Honavar, Günter Rudolph, Joachim Wegener, Larry Bull, Mitchell A. Potter, Alan C. Schultz, Julian F. Miller, Edmund K. Burke, Natasa Jonoska: GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, New York, USA, 9-13 July 2002 Morgan Kaufmann 2002
18		Erick Cantú-Paz, Chandrika Kamath: Evolving Neural Networks For The Classification Of Galaxies. GECCO 2002: 1019-1026
17		Erick Cantú-Paz: Feature Subset Selection By Estimation Of Distribution Algorithms. GECCO 2002: 303-310
16		Erick Cantú-Paz: On Random Numbers And The Performance Of Genetic Algorithms. GECCO 2002: 311-318
15	EE	Sergey Kirshner, Igor V. Cadez, Padhraic Smyth, Chandrika Kamath, Erick Cantú-Paz: Probabilistic Model-Based Detection of Bent-Double Radio Galaxies. ICPR (2) 2002: 499-502
14	EE	Chandrika Kamath, Erick Cantú-Paz, David Littau: Approximate Splitting for Ensembles of Trees using Histograms. SDM 2002
13	EE	Erick Cantú-Paz: Order statistics and selection methods of evolutionary algorithms. Inf. Process. Lett. 82(1): 15-22 (2002)
2001
12		Erick Cantú-Paz: Migration Policies, Selection Pressure, and Parallel Evolutionary Algorithms. J. Heuristics 7(4): 311-334 (2001)
2000
11		L. Darrell Whitley, David E. Goldberg, Erick Cantú-Paz, Lee Spector, Ian C. Parmee, Hans-Georg Beyer: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), Las Vegas, Nevada, USA, July 8-12, 2000 Morgan Kaufmann 2000
10		Erick Cantú-Paz, Chandrika Kamath: Using Evolutionary Algorithms to Induce Oblique Decision Trees. GECCO 2000: 1053-1060
9		Martin Pelikan, David E. Goldberg, Erick Cantú-Paz: Bayesian Optimization Algorithm, Population Sizing, and Time to Convergence. GECCO 2000: 275-282
8		Erick Cantú-Paz: Selection Intensity in Genetic Algorithm with Generation Gaps. GECCO 2000: 911-918
7		Martin Pelikan, David E. Goldberg, Erick Cantú-Paz: Linkage Problem, Distribution Estimation, and Bayesian Networks. Evolutionary Computation 8(3): 311-340 (2000)
6		Erick Cantú-Paz: Markov chain models of parallel genetic algorithms. IEEE Trans. Evolutionary Computation 4(3): 216-226 (2000)
1999
5		Erick Cantú-Paz: Migration Policies and Takeover Times in Genetic Algorithms. GECCO 1999: 775
4		Erick Cantú-Paz: Topologies, Migration Rates, and Multi-Population Parallel Genetic Algorithms. GECCO 1999: 91-98
3		Georges R. Harik, Erick Cantú-Paz, David E. Goldberg, Brad L. Miller: The Gambler's Ruin Problem, Genetic Algorithms, and the Sizing of Populations. Evolutionary Computation 7(3): 231-253 (1999)
2		Erick Cantú-Paz, David E. Goldberg: On the Scalability of Parallel Genetic Algorithms. Evolutionary Computation 7(4): 429-449 (1999)
1997
1		Erick Cantú-Paz, David E. Goldberg: Predicting Speedups of Ideal Bounding Cases of Parallel Genetic Algorithms. ICGA 1997: 113-120

Coauthor Index

1	Karthik Balakrishnan	[19]
2	Hans-Georg Beyer	[11] [25] [26]
3	Larry Bull	[19]
4	Edmund K. Burke	[19]
5	Igor V. Cadez	[15]
6	Dipankar Dasgupta	[25] [26]
7	David Davis	[19]
8	Lawrence Davis	[25] [26]
9	Kalyanmoy Deb	[25] [26]
10	Kathryn A. Dowsland	[25] [26]
11	James A. Foster	[25] [26] [32]
12	David E. Goldberg	[1] [2] [3] [7] [9] [11] [23]
13	Georges R. Harik	[3]
14	Mark Harman	[25] [26]
15	Vasant Honavar	[19]
16	Natasa Jonoska (Natasha Jonoska)	[19] [25] [26]
17	Chandrika Kamath	[10] [14] [15] [18] [21] [22] [28] [31]
18	Graham Kendall	[25] [26]
19	Sergey Kirshner	[15]
20	William B. Langdon	[19]
21	David Littau	[14]
22	J. I. López	[27]
23	T. Manzano	[27]
24	Keith E. Mathias	[19]
25	Brad L. Miller	[3]
26	Julian Francis Miller (Julian F. Miller)	[19] [25] [26]
27	Shawn Newsam	[28]
28	Una-May O'Reilly	[25] [26]
29	Jiri Ocenasek	[36]
30	Ian C. Parmee	[11]
31	Martin Pelikan	[7] [9] [36] [37] [38]
32	Riccardo Poli	[19]
33	Mitchell A. Potter	[19] [25] [26]
34	Rajkumar Roy	[19] [25] [26]
35	Günter Rudolph	[19]
36	Kumara Sastry	[37] [38]
37	Alan C. Schultz	[19] [25] [26]
38	Josef Schwarz	[36]
39	Padhraic Smyth	[15]
40	Lee Spector	[11]
41	Russell K. Standish	[25] [26]
42	Francisco Fernández de Vega	[27] [33] [34] [40]
43	Joachim Wegener	[19] [25] [26]
44	L. Darrell Whitley (Darrell Whitley)	[11]
45	Stewart W. Wilson	[25] [26]

Colors in the list of coauthors