Erick Cantú-Paz

发表

A Survey of Parallel Genetic Algorithms

Erick Cantú-Paz, E. Cantú-Paz, 2000 .

Order statistics and selection methods of evolutionary algorithms

Erick Cantú-Paz, E. Cantú-Paz, 2002, Inf. Process. Lett..

Proceedings of the 2nd Annual Conference on Genetic and Evolutionary Computation

David E. Goldberg, L. Darrell Whitley, Lee Spector, 2000 .

Inducing oblique decision trees with evolutionary algorithms

Chandrika Kamath, Erick Cantú-Paz, C. Kamath, 2003, IEEE Trans. Evol. Comput..

Feature Subset Selection with Hybrids of Filters and Evolutionary Algorithms

Erick Cantú-Paz, E. Cantú-Paz, 2006, Scalable Optimization via Probabilistic Modeling.

Designing efficient and accurate parallel genetic algorithms (parallel algorithms)

David E. Goldberg, Erick Cantú-Paz, D. Goldberg, 1999 .

The Gambler's Ruin Problem, Genetic Algorithms, and the Sizing of Populations

David E. Goldberg, Erick Cantú-Paz, Brad L. Miller, 1999, Evolutionary Computation.

Predicting Speedups of Ideal Bounding Cases of Parallel Genetic Algorithms

David E. Goldberg, Erick Cantú-Paz, 1997, ICGA.

Migration Policies and Takeover Times in Genetic Algorithms

Erick Cantú-Paz, 1999, GECCO.

Temporal click model for sponsored search

Erick Cantú-Paz, Eren Manavoglu, Wanhong Xu, 2010, SIGIR.

Proceedings of the Genetic and Evolutionary Computation Conference

Julian F. Miller, Riccardo Poli, Edmund K. Burke, 2021, GECCO.

Designing efficient master-slave parallel genetic algorithms

Erick Cantú-Paz, 1997 .

Design of Parallel Estimation of Distribution Algorithms

Martin Pelikan, Erick Cantú-Paz, Jiri Ocenasek, 2006, Scalable Optimization via Probabilistic Modeling.

Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII

Erick Cantú-Paz, 2003 .

Probabilistic model-based detection of bent-double radio galaxies

Chandrika Kamath, Padhraic Smyth, Erick Cantú-Paz, 2002, Object recognition supported by user interaction for service robots.

Topologies, Migration Rates, and Multi-Population Parallel Genetic Algorithms

Erick Cantú-Paz, E. Cantú-Paz, 1999, GECCO.

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), Las Vegas, Nevada, USA, July 8-12, 2000

David E. Goldberg, Lee Spector, Hans-Georg Beyer, 2002, GECCO.

Classifying bent-double galaxies

Chandrika Kamath, Erick Cantú-Paz, Imola K. Fodor, 2002, Comput. Sci. Eng..

Adaptive Sampling for Noisy Problems

Erick Cantú-Paz, E. Cantú-Paz, 2004, GECCO.

Evolving neural networks to identify bent-double galaxies in the FIRST survey

Chandrika Kamath, Erick Cantú-Paz, C. Kamath, 2003, Neural Networks.

Saving Resources with Plagues in Genetic Algorithms

Francisco Fernández de Vega, Erick Cantú-Paz, J. I. López, 2004, PPSN.

Genetic and Evolutionary Computation — GECCO 2003

J. van Leeuwen, Jan van Leeuwen, Mark Harman, 2003, Lecture Notes in Computer Science.

Efficient Parallel Genetic Algorithms: Theory and Practice

David E. Goldberg, Erick Cantú-Paz, D. Goldberg, 2000 .

Bounding Cases of Genetic Algorithms with Multiple Demes

Erick Cantú-Paz, 2001 .

Scalable Optimization via Probabilistic Modeling

Martin Pelikan, Kumara Sastry, Erick Cantú-Paz, 2006, Studies in Computational Intelligence.

Linkage Problem, Distribution Estimation, and Bayesian Networks

David E. Goldberg, Martin Pelikan, Erick Cantú-Paz, 2000, Evolutionary Computation.

Markov chain models of parallel genetic algorithms

Erick Cantú-Paz, E. Cantú-Paz, 2000, IEEE Trans. Evol. Comput..

The gambler''s ruin problem

David E. Goldberg, Erick Cantú-Paz, Brad L. Miller, 1997 .

Message from the chairs

Francisco Fernández de Vega, Erick Cantú-Paz, E. Cantú-Paz, 2019, 2009 International Conference on Advanced Technologies for Communications.

Supervised and unsupervised discretization methods for evolutionary algorithms

Erick Cantú-Paz, E Cantu-Paz, 2001 .

Late Breaking papers at the Genetic and Evolutionary Computation Conference (GECCO-2002), New York, USA, 9-13 July 2002

Erick Cantú-Paz, E. Cantú-Paz, 2002, GECCO Late Breaking Papers.

Migration Policies, Selection Pressure, and Parallel Evolutionary Algorithms

Erick Cantú-Paz, E. Cantú-Paz, 2001, J. Heuristics.

Chandrika Kamath, Sen-Ching S. Cheung, Erick Cantú-Paz, 2004, IS&T/SPIE Electronic Imaging.

Feature Subset Selection, Class Separability, and Genetic Algorithms

Erick Cantú-Paz, E. Cantú-Paz, 2004, GECCO.

Fine-Grained and Hierarchical Parallel Genetic Algorithms

Erick Cantú-Paz, 2001 .

Modeling Idealized Bounding Cases of Parallel Genetic Algorithms

Erick Cantú-Paz, E. Cantú-Paz, 1996 .

Approximate Splitting for Ensembles of Trees using Histograms

Chandrika Kamath, Erick Cantú-Paz, David Littau, 2001, SDM.

Genetic and Evolutionary Computation — GECCO 2003

Julian F. Miller, Mark Harman, Kathryn A. Dowsland, 2003, Lecture Notes in Computer Science.

Introduction

James A. Foster, Erick Cantú-Paz, E. Cantú-Paz, 2005, Genetic Programming and Evolvable Machines.

Markov Chain Models of Multiple Demes

Erick Cantú-Paz, 2001 .

Are Multiple Runs of Genetic Algorithms Better than One?

David E. Goldberg, Erick Cantú-Paz, D. Goldberg, 2003, GECCO.

Migration Rates and Optimal Topologies

Erick Cantú-Paz, 2001 .

Bayesian Optimization Algorithm, Population Sizing, and Time to Convergence

David E. Goldberg, Martin Pelikan, Erick Cantú-Paz, 2000, GECCO.

Personalized click prediction in sponsored search

Erick Cantú-Paz, Haibin Cheng, E. Cantú-Paz, 2010, WSDM '10.

Amazon Search: The Joy of Ranking Products

Daria Sorokina, Erick Cantú-Paz, E. Cantú-Paz, 2016, SIGIR.

Proceedings of the 4th Annual Conference on Genetic and Evolutionary Computation

Keith E. Mathias, William B. Langdon, Erick Cantú-Paz, 2002 .

Parallel Architectures and Bioinspired Algorithms

José Ignacio Hidalgo, Albert Y. Zomaya, Juan Lanchares, 2010, Parallel Comput..

Special issue on distributed bioinspired algorithms

Francisco Fernández de Vega, Erick Cantú-Paz, 2008, Soft Comput..

Genetic and evolutionary computation - GECCO 2003 : Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003 : proceedings

Kathryn A. Dowsland, Stewart W. Wilson, Alan C. Schultz, 2003 .

Searching for Bent-Double Galaxies in the First Survey

Chandrika Kamath, Erick Cantú-Paz, Imola K. Fodor, 2001 .

Master-Slave Parallel Genetic Algorithms

Erick Cantú-Paz, 2001 .

Efficient and Accurate Parallel Genetic Algorithms

Erick Cantú-Paz, E. Cantú-Paz, 2000, Genetic Algorithms and Evolutionary Computation.

Migration, Selection Pressure, and Superlinear Speedups

Erick Cantú-Paz, 2001 .

Selection Intensity in Genetic Algorithm with Generation Gaps

Erick Cantú-Paz, E. Cantú-Paz, 2000, GECCO.

Using Evolutionary Algorithms to Induce Oblique Decision Trees

Chandrika Kamath, Erick Cantú-Paz, 2000, GECCO.

Designing Efficient and Accurate Parallel Genetic Algorithms

Erick Cantú-Paz, 1999 .

Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications (Studies in Computational Intelligence)

Martin Pelikan, Kumara Sastry, Erick Cantú-Paz, 2006 .

GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, New York, USA, 9-13 July 2002

Julian F. Miller, Riccardo Poli, Vasant Honavar, 2002, GECCO.

On the Use of Evolutionary Algorithms in Data Mining

Erick Cantú-Paz, 2002 .

The 2003 Genetic and Evolutionary Computation Conference

James A. Foster, Erick Cantú-Paz, 2003 .

Evolving Neural Networks for the Classification of Galaxies

Chandrika Kamath, Erick Cantú-Paz, C. Kamath, 2002, GECCO.

Single vs. multiple runs under constant computation cost

Erick Cantú-Paz, 2001 .

Special issue on parallel bioinspired algorithms

Francisco Fernández de Vega, Erick Cantú-Paz, 2006, J. Parallel Distributed Comput..

The sum of its parts: reducing sparsity in click estimation with query segments

Rukmini Iyer, Hema Raghavan, Dustin Hillard, 2011, Information Retrieval.

Parameter Setting in Parallel Genetic Algorithms

Erick Cantú-Paz, E. Cantú-Paz, 2007, Parameter Setting in Evolutionary Algorithms.

Pruning Neural Networks with Distribution Estimation Algorithms

Erick Cantú-Paz, 2003, GECCO.

A summary of Research on Parallel Genetic Algorithms

Erick Cantú-Paz, E. Cantú-Paz, 1995 .

Summary, Extensions, and Conclusions

Erick Cantú-Paz, 2001 .

On the Scalability of Parallel Genetic Algorithms

David E. Goldberg, Erick Cantú-Paz, D. Goldberg, 1999, Evolutionary Computation.

On Random Numbers and the Performance of Genetic Algorithms

Erick Cantú-Paz, E. Cantú-Paz, 2002, GECCO.

Feature Subset Selection by Estimation of Distribution Algorithms

Erick Cantú-Paz, E. Cantú-Paz, 2002, GECCO.

Feature selection in scientific applications

Chandrika Kamath, Shawn D. Newsam, Erick Cantú-Paz, 2004, KDD.

Theory of Parallel Genetic Algorithms

Erick Cantú-Paz, E. Cantú-Paz, 2005 .