Kumara Sastry

According to our database, Kumara Sastry authored at least 83 papers between 2002 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design.

Mingjie Liu, Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Selim Dogru, Anima Anandkumar, David Z. Pan, Brucek Khailany, Haoxing Ren

CoRR, 2022

Large Scale Mask Optimization Via Convolutional Fourier Neural Operator and Litho-Guided Self Training.

Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Anima Anandkumar, Brucek Khailany, Vivek Singh, Haoxing Ren

CoRR, 2022

Generic lithography modeling with dual-band optics-inspired neural networks.

Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Mark Kilgard, Anima Anandkumar, Brucek Khailany, Vivek Singh, Haoxing Ren

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2012

Using Previous Models to Bias Structural Learning in the Hierarchical BOA.

Mark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg

Evol. Comput., 2012

2009

Facetwise Analysis of XCS for Problems With Class Imbalances.

Albert Orriols-Puig, Ester Bernadó-Mansilla, David E. Goldberg, Kumara Sastry, Pier Luca Lanzi

IEEE Trans. Evol. Comput., 2009

Analyzing Probabilistic Models in Hierarchical BOA.

Mark Hauschild, Martin Pelikan, Kumara Sastry, Cláudio F. Lima

IEEE Trans. Evol. Comput., 2009

Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination.

Tian-Li Yu, David E. Goldberg, Kumara Sastry, Cláudio F. Lima, Martin Pelikan

Evol. Comput., 2009

Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap.

Martin Pelikan, Kumara Sastry, David E. Goldberg, Martin V. Butz, Mark Hauschild

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Initial-population bias in the univariate estimation of distribution algorithm.

Martin Pelikan, Kumara Sastry

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008

Linkage Learning Accuracy in the Bayesian Optimization Algorithm.

Cláudio F. Lima, Martin Pelikan, David E. Goldberg, Fernando G. Lobo, Kumara Sastry, Mark Hauschild

Proceedings of the Linkage in Evolutionary Computation, 2008

Real-Coded ECGA for Solving Decomposable Real-Valued Optimization Problems.

Minqiang Li, David E. Goldberg, Kumara Sastry, Tian-Li Yu

Proceedings of the Linkage in Evolutionary Computation, 2008

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

Pier Luca Lanzi, Luigi Nichetti, Kumara Sastry, Davide Voltini, David E. Goldberg

Proceedings of the Linkage in Evolutionary Computation, 2008

Sporadic model building for efficiency enhancement of the hierarchical BOA.

Martin Pelikan, Kumara Sastry, David E. Goldberg

Genet. Program. Evolvable Mach., 2008

Enhancing the Efficiency of the ECGA.

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

Proceedings of the Parallel Problem Solving from Nature, 2008

Improving small population performance under noise with viral infection + tropism.

Yuji Sato, David E. Goldberg, Kumara Sastry

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Speeding online synthesis via enforced selecto-recombination.

Shunsuke Saruwatari, Xavier Llorà, Noriko Imafuji Yasui, Hiroshi Tamura, Kumara Sastry, David E. Goldberg

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

iBOA: the incremental bayesian optimization algorithm.

Martin Pelikan, Kumara Sastry, David E. Goldberg

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Improving the efficiency of the extended compact genetic algorithm.

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

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

2007

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

Tian-Li Yu, Kumara Sastry, David E. Goldberg

Proceedings of the Parameter Setting in Evolutionary Algorithms, 2007

Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity.

Martin V. Butz, David E. Goldberg, Pier Luca Lanzi, Kumara Sastry

Genet. Program. Evolvable Mach., 2007

Toward routine billion-variable optimization using genetic algorithms.

David E. Goldberg, Kumara Sastry, Xavier Llorà

Complex., 2007

Substructural Surrogates for Learning Decomposable Classification Problems.

Albert Orriols-Puig, Kumara Sastry, David E. Goldberg, Ester Bernadó-Mansilla

Proceedings of the Learning Classifier Systems, 2007

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

Xavier Llorà, Kumara Sastry, Cláudio F. Lima, Fernando G. Lobo, David E. Goldberg

Proceedings of the Learning Classifier Systems, 2007

Analysis of Population Evolution in Classifier Systems Using Symbolic Representations.

Pier Luca Lanzi, Stefano Rocca, Kumara Sastry, Stefania Solari

Proceedings of the Learning Classifier Systems, 2007

Evolutionary Algorithm for Large Scale Problems.

Thyago S. P. C. Duque, Kumara Sastry, Alexandre C. B. Delbem, David E. Goldberg

Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

Performance Analyses of Factorization Based on Gaussian PDF In rECGA.

Minqiang Li, David E. Goldberg, Kumara Sastry, Tian-Li Yu

Proceedings of the Third International Conference on Natural Computation, 2007

Population sizing for entropy-based model building in discrete estimation of distribution algorithms.

Tian-Li Yu, Kumara Sastry, David E. Goldberg, Martin Pelikan

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Empirical analysis of ideal recombination on random decomposable problems.

Kumara Sastry, Martin Pelikan, David E. Goldberg

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

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

Kumara Sastry, David E. Goldberg, Xavier Llorà

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

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

Kumara Sastry, David E. Goldberg

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Modeling selection pressure in XCS for proportionate and tournament selection.

Albert Orriols-Puig, Kumara Sastry, Pier Luca Lanzi, David E. Goldberg, Ester Bernadó-Mansilla

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Modeling XCS in class imbalances: population size and parameter settings.

Albert Orriols-Puig, David E. Goldberg, Kumara Sastry, Ester Bernadó-Mansilla

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

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

Albert Orriols-Puig, Ester Bernadó-Mansilla, Kumara Sastry, David E. Goldberg

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

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

Xavier Llorà, Kumara Sastry, Tian-Li Yu, David E. Goldberg

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Analyzing probabilistic models in hierarchical BOA on traps and spin glasses.

Mark Hauschild, Martin Pelikan, Cláudio F. Lima, Kumara Sastry

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Automated alphabet reduction method with evolutionary algorithms for protein structure prediction.

Jaume Bacardit, Michael Stout, Jonathan D. Hirst, Kumara Sastry, Xavier Llorà, Natalio Krasnogor

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Influence of selection and replacement strategies on linkage learning in BOA.

Cláudio F. Lima, Martin Pelikan, David E. Goldberg, Fernando G. Lobo, Kumara Sastry, Mark Hauschild

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

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

Minqiang Li, David E. Goldberg, Kumara Sastry, Tian-Li Yu

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

A Simple Real-Coded Extended Compact Genetic Algorithm.

Luca Fossati, Pier Luca Lanzi, Kumara Sastry, David E. Goldberg, Osvaldo Gómez

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006

Efficiency Enhancement of Estimation of Distribution Algorithms.

Kumara Sastry, Martin Pelikan, David E. Goldberg

Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Multiobjective Estimation of Distribution Algorithms.

Martin Pelikan, Kumara Sastry, David E. Goldberg

Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Introduction.

Martin Pelikan, Kumara Sastry, Erick Cantú-Paz

Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Linkage Learning via Probabilistic Modeling in the Extended Compact Genetic Algorithm (ECGA).

Georges R. Harik, Fernando G. Lobo, Kumara Sastry

Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Performance of Evolutionary Algorithms on Random Decomposable Problems.

Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg

Proceedings of the Parallel Problem Solving from Nature, 2006

Hierarchical BOA, Cluster Exact Approximation, and Ising Spin Glasses.

Martin Pelikan, Alexander K. Hartmann, Kumara Sastry

Proceedings of the Parallel Problem Solving from Nature, 2006

Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm.

Cláudio F. Lima, Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg, Fernando G. Lobo

Proceedings of the Parallel Problem Solving from Nature, 2006

Efficient Interactive Weight Tuning For Tts Synthesis: Reducing User Fatigue By Improving User Consistency.

Francesc Alías, Xavier Llorà, Lluís Formiga, Kumara Sastry, David E. Goldberg

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Evaluation relaxation using substructural information and linear estimation.

Kumara Sastry, Cláudio F. Lima, David E. Goldberg

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Multiobjective genetic algorithms for multiscaling excited state direct dynamics in photochemistry.

Kumara Sastry, D. D. Johnson, Alexis L. Thompson, David E. Goldberg, Todd J. Martínez, Jeff Leiding, Jane Owens

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Hierarchical BOA on random decomposable problems.

Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Analyzing active interactive genetic algorithms using visual analytics.

Xavier Llorà, Kumara Sastry, Francesc Alías, David E. Goldberg, Michael Welge

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Fast rule matching for learning classifier systems via vector instructions.

Xavier Llorà, Kumara Sastry

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Fluctuating Crosstalk as a Source of Deterministic Noise and Its Effects on GA Scalability.

Kumara Sastry, Paul Winward, David E. Goldberg, Cláudio F. Lima

Proceedings of the Applications of Evolutionary Computing, 2006

2005

Strong, Stable, and Reliable Fitness Pressure in XCS due to Tournament Selection.

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

Genet. Program. Evolvable Mach., 2005

Decomposable Problems, Niching, and Scalability of Multiobjective Estimation of Distribution Algorithms

Kumara Sastry, Martin Pelikan, David E. Goldberg

CoRR, 2005

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

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

CoRR, 2005

Population Sizing for Genetic Programming Based Upon Decision Making

Kumara Sastry, Una-May O'Reilly, David E. Goldberg

CoRR, 2005

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

Tian-Li Yu, Kumara Sastry, David E. Goldberg

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Sub-structural niching in estimation of distribution algorithms.

Kumara Sastry, Hussein A. Abbass, David E. Goldberg, D. D. Johnson

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Multiobjective hBOA, clustering, and scalability.

Martin Pelikan, Kumara Sastry, David E. Goldberg

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Scalability of genetic programming and probabilistic incremental program evolution.

Radovan Ondas, Martin Pelikan, Kumara Sastry

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

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

Xavier Llorà, Kumara Sastry, David E. Goldberg, Abhimanyu Gupta, Lalitha Lakshmi

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Binary rule encoding schemes: a study using the compact classifier system.

Xavier Llorà, Kumara Sastry, David E. Goldberg

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

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

Xavier Llorà, Kumara Sastry, David E. Goldberg

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Combining competent crossover and mutation operators: a probabilistic model building approach.

Cláudio F. Lima, Kumara Sastry, David E. Goldberg, Fernando G. Lobo

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Online population size adjusting using noise and substructural measurements.

Tian-Li Yu, Kumara Sastry, David E. Goldberg

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Limits of scalability of multiobjective estimation of distribution algorithms.

Kumara Sastry, David E. Goldberg, Martin Pelikan

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

The compact classifier system: scalability analysis and first results.

Xavier Llorà, Kumara Sastry, David E. Goldberg

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004

Efficiency Enhancement of Probabilistic Model Building Genetic Algorithms

Kumara Sastry, David E. Goldberg, Martin Pelikan

CoRR, 2004

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

Kumara Sastry, David E. Goldberg

Proceedings of the Genetic and Evolutionary Computation, 2004

Designing Competent Mutation Operators Via Probabilistic Model Building of Neighborhoods.

Kumara Sastry, David E. Goldberg

Proceedings of the Genetic and Evolutionary Computation, 2004

Fitness Inheritance in the Bayesian Optimization Algorithm.

Martin Pelikan, Kumara Sastry

Proceedings of the Genetic and Evolutionary Computation, 2004

Inducing Sequentiality Using Grammatical Genetic Codes.

Kei Ohnishi, Kumara Sastry, Ying-Ping Chen, David E. Goldberg

Proceedings of the Genetic and Evolutionary Computation, 2004

Efficiency enhancement of genetic algorithms via building-block-wise fitness estimation.

Kumara Sastry, Martin Pelikan, David E. Goldberg

Proceedings of the IEEE Congress on Evolutionary Computation, 2004

Sub-structural Niching in Non-stationary Environments.

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

Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

2003

Optimal Sampling and Speed-Up for Genetic Algorithms on the Sampled OneMax Problem.

Tian-Li Yu, David E. Goldberg, Kumara Sastry

Proceedings of the Genetic and Evolutionary Computation, 2003

Scalability of Selectorecombinative Genetic Algorithms for Problems with Tight Linkage.

Kumara Sastry, David E. Goldberg

Proceedings of the Genetic and Evolutionary Computation, 2003

Tournament Selection: Stable Fitness Pressure in XCS.

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

Proceedings of the Genetic and Evolutionary Computation, 2003

Discovering Deep Building Blocks for Competent Genetic Algorithms Using Chance Discovery via KeyGraphs.

David E. Goldberg, Kumara Sastry, Yukio Ohsawa

Proceedings of the Chance Discovery, 2003

2002

Scalability of the Bayesian optimization algorithm.

Martin Pelikan, Kumara Sastry, David E. Goldberg

Int. J. Approx. Reason., 2002

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

Kumara Sastry, David E. Goldberg

Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Variances.

Kumara Sastry, David E. Goldberg

Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Fitness Inheritance In Multi-objective Optimization.

Jian-Hung Chen, David E. Goldberg, Shinn-Ying Ho, Kumara Sastry

Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002