Kumara Sastry

David E. Goldberg, Kumara Sastry, Alexandre C. B. Delbem, 2007, Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007).

Extended Compact Genetic Algorithm in Matlab

Kumara Sastry, Albert Orriols-Puig, 2007 .

Real-Coded Extended Compact Genetic Algorithm Based on Mixtures of Models

David E. Goldberg, Kumara Sastry, Pier Luca Lanzi, 2008, Linkage in Evolutionary Computation.

Linkage Learning, Rule Representation, and the X-Ary Extended Compact Classifier System

Xavier Llorà, David E. Goldberg, Kumara Sastry, 2008, IWLCS.

Genetic Programming for Multiscale Modeling

David E. Goldberg, Kumara Sastry, Pascal Bellon, 2004 .

Improving the efficiency of the extended compact genetic algorithm

David E. Goldberg, Kumara Sastry, Thyago S. P. C. Duque, 2008, GECCO '08.

Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitness

Xavier Llorà, David E. Goldberg, Kumara Sastry, 2005, GECCO '05.

Scalability of genetic programming and probabilistic incremental program evolution pdf

Martin Pelikan, Kumara Sastry, Radovan Ondas, 2005, GECCO '05.

Do not match, inherit: fitness surrogates for genetics-based machine learning techniques

Xavier Llorà, David E. Goldberg, Kumara Sastry, 2007, GECCO '07.

Evaluation Consistency in iGAs: User Contradictions as Cycles in Partial-Ordering Graphs

David E. Goldberg, Kumara Sastry, Xavier Llorà, 2005 .

Bayesian optimization algorithm, decision graphs, and Occam's razor

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2001 .

Sub-structural niching in estimation of distribution algorithms

Hussein A. Abbass, David E. Goldberg, Kumara Sastry, 2005, GECCO '05.

Genetic and Evolutionary Computation Conference 2008 : GECCO 2008

Julian F. Miller, Giuliano Antoniol, Maarten Keijzer, 2008, GECCO 2008.

A Simple Real-Coded Extended Compact Genetic Algorithm

David E. Goldberg, Kumara Sastry, Pier Luca Lanzi, 2007, 2007 IEEE Congress on Evolutionary Computation.

Substructrual surrogates for learning decomposable classification problems: implementation and first results

David E. Goldberg, Kumara Sastry, Ester Bernadó-Mansilla, 2007, GECCO '07.

Using Previous Models to Bias Structural Learning in the Hierarchical BOA

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2008, Evolutionary Computation.

Multiobjective Estimation of Distribution Algorithms

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2006, Scalable Optimization via Probabilistic Modeling.

Evaluation relaxation using substructural information and linear estimation

David E. Goldberg, Kumara Sastry, Cláudio F. Lima, 2006, GECCO '06.

Designing Competent Mutation Operators Via Probabilistic Model Building of Neighborhoods

David E. Goldberg, Kumara Sastry, D. Goldberg, 2004, GECCO.

The compact classifier system: motivation, analysis, and first results

Xavier Llorà, David E. Goldberg, Kumara Sastry, 2005, GECCO '05.

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

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

The - ary extended compact classifier system: Linkage learning in Pittsburgh LCS

David E. Goldberg, Kumara Sastry, Luis de la Ossa, 2007 .

Genetic Programming, Probabilistic Incremental Program Evolution, and Scalability

Martin Pelikan, Kumara Sastry, Radovan Ondas, 2006 .

Speeding online synthesis via enforced selecto-recombination

Xavier Llorà, David E. Goldberg, Kumara Sastry, 2008, GECCO '08.

Real-coded ECGA for solving decomposable real-valued optimization problems

David E. Goldberg, Kumara Sastry, Minqiang Li, 2007, 2007 IEEE Congress on Evolutionary Computation.

Tournament Selection: Stable Fitness Pressure in XCS

Martin V. Butz, David E. Goldberg, Kumara Sastry, 2003, GECCO.

Discovering Building Blocks for Human Based Genetic Algorithms

David E. Goldberg, Kumara Sastry, Xavier Llora, 2007 .

Enhancing the Efficiency of the ECGA

David E. Goldberg, Kumara Sastry, Thyago S. P. C. Duque, 2008, PPSN.

Toward routine billion-variable optimization using genetic algorithms: Short Communication

Xavier Llorà, David E. Goldberg, Kumara Sastry, 2007 .

Efficiency Enhancement of Estimation of Distribution Algorithms

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2006, Scalable Optimization via Probabilistic Modeling.

Linkage learning, overlapping building blocks, and systematic strategy for scalable recombination

David E. Goldberg, Kumara Sastry, Tian-Li Yu, 2005, GECCO '05.

Sporadic model building for efficiency enhancement of hierarchical BOA

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2006, GECCO.

Population Sizing to Go: Online Adaptation Using Noise and Substructural Measurements

David E. Goldberg, Kumara Sastry, Tian-Li Yu, 2007, Parameter Setting in Evolutionary Algorithms.

Analyzing probabilistic models in hierarchical BOA on traps and spin glasses

Martin Pelikan, Kumara Sastry, Cláudio F. Lima, 2007, GECCO '07.

Let's get ready to rumble redux: crossover versus mutation head to head on exponentially scaled problems

David E. Goldberg, Kumara Sastry, D. Goldberg, 2007, GECCO '07.

Analyzing Probabilistic Models in Hierarchical BOA

Martin Pelikan, Kumara Sastry, Cláudio F. Lima, 2009, IEEE Transactions on Evolutionary Computation.

Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Bias Values

David E. Goldberg, Kumara Sastry, 2002, GECCO.

Towards billion-bit optimization via a parallel estimation of distribution algorithm

Xavier Llorà, David E. Goldberg, Kumara Sastry, 2007, GECCO '07.

Sub-structural Niching in Non-stationary Environments

Hussein A. Abbass, David E. Goldberg, Kumara Sastry, 2004, Australian Conference on Artificial Intelligence.

BUILDING-BLOCK SUPPLY IN GENETIC PROGRAMMING

David E. Goldberg, David J. Hill, Kumara Sastry, 2003 .

Oiling the Wheels of Change: The Role of Adaptive Automatic Problem Decomposition in Non-Stationary Environments pdf

Hussein A. Abbass, David E. Goldberg, Kumara Sastry, 2005, ArXiv.

Modeling XCS in class imbalances: population size and parameter settings

David E. Goldberg, Kumara Sastry, Ester Bernadó-Mansilla, 2007, GECCO '07.

Multiobjective hBOA, clustering, and scalability

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2005, GECCO '05.

Let's Get Ready to Rumble: Crossover Versus Mutation Head to Head

David E. Goldberg, Kumara Sastry, D. Goldberg, 2004, GECCO.

Performance Analyses of Factorization Based on Gaussian PDF In rECGA

David E. Goldberg, Kumara Sastry, Minqiang Li, 2007, Third International Conference on Natural Computation (ICNC 2007).

Facetwise Analysis of XCS for Problems With Class Imbalances

David E. Goldberg, Kumara Sastry, Pier Luca Lanzi, 2009, IEEE Transactions on Evolutionary Computation.

Linkage Learning Accuracy in the Bayesian Optimization Algorithm

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2008, Linkage in Evolutionary Computation.

Genetic programming for multitimescale modeling

David E. Goldberg, Kumara Sastry, Pascal Bellon, 2005 .

Simplex crossover and linkage learning in real-coded GAs

David E. Goldberg, Kumara Sastry, Shigeyoshi Tsutsui, 2001 .

Optimization of Semiempirical Quantum Chemistry Methods via Multiobjective Genetic Algorithms: Accurate Photodynamics for Larger Molecules and Longer Time Scales

David E. Goldberg, Kumara Sastry, A. L. Thompson, 2007 .