Kumara Sastry

According to our database1, Kumara Sastry authored at least 83 papers between 2002 and 2022.

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Bibliography

2022
An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design.
CoRR, 2022

Large Scale Mask Optimization Via Convolutional Fourier Neural Operator and Litho-Guided Self Training.
CoRR, 2022

Generic lithography modeling with dual-band optics-inspired neural networks.
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.
Evol. Comput., 2012

2009
Facetwise Analysis of XCS for Problems With Class Imbalances.
IEEE Trans. Evol. Comput., 2009

Analyzing Probabilistic Models in Hierarchical BOA.
IEEE Trans. Evol. Comput., 2009

Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination.
Evol. Comput., 2009

Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Initial-population bias in the univariate estimation of distribution algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008
Linkage Learning Accuracy in the Bayesian Optimization Algorithm.
Proceedings of the Linkage in Evolutionary Computation, 2008

Real-Coded ECGA for Solving Decomposable Real-Valued Optimization Problems.
Proceedings of the Linkage in Evolutionary Computation, 2008

Real-Coded Extended Compact Genetic Algorithm Based on Mixtures of Models.
Proceedings of the Linkage in Evolutionary Computation, 2008

Sporadic model building for efficiency enhancement of the hierarchical BOA.
Genet. Program. Evolvable Mach., 2008

Enhancing the Efficiency of the ECGA.
Proceedings of the Parallel Problem Solving from Nature, 2008

Improving small population performance under noise with viral infection + tropism.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Speeding online synthesis via enforced selecto-recombination.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

iBOA: the incremental bayesian optimization algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Improving the efficiency of the extended compact genetic algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

2007
Population Sizing to Go: Online Adaptation Using Noise and Substructural Measurements.
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.
Genet. Program. Evolvable Mach., 2007

Toward routine billion-variable optimization using genetic algorithms.
Complex., 2007

Substructural Surrogates for Learning Decomposable Classification Problems.
Proceedings of the Learning Classifier Systems, 2007

Linkage Learning, Rule Representation, and the X-Ary Extended Compact Classifier System.
Proceedings of the Learning Classifier Systems, 2007

Analysis of Population Evolution in Classifier Systems Using Symbolic Representations.
Proceedings of the Learning Classifier Systems, 2007

Evolutionary Algorithm for Large Scale Problems.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

Performance Analyses of Factorization Based on Gaussian PDF In rECGA.
Proceedings of the Third International Conference on Natural Computation, 2007

Population sizing for entropy-based model building in discrete estimation of distribution algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Empirical analysis of ideal recombination on random decomposable problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Towards billion-bit optimization via a parallel estimation of distribution algorithm.
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.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Modeling selection pressure in XCS for proportionate and tournament selection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Modeling XCS in class imbalances: population size and parameter settings.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Substructrual surrogates for learning decomposable classification problems: implementation and first results.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Do not match, inherit: fitness surrogates for genetics-based machine learning techniques.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Analyzing probabilistic models in hierarchical BOA on traps and spin glasses.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Automated alphabet reduction method with evolutionary algorithms for protein structure prediction.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Influence of selection and replacement strategies on linkage learning in BOA.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Real-coded ECGA for solving decomposable real-valued optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

A Simple Real-Coded Extended Compact Genetic Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Efficiency Enhancement of Estimation of Distribution Algorithms.
Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Multiobjective Estimation of Distribution Algorithms.
Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Introduction.
Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Linkage Learning via Probabilistic Modeling in the Extended Compact Genetic Algorithm (ECGA).
Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006

Performance of Evolutionary Algorithms on Random Decomposable Problems.
Proceedings of the Parallel Problem Solving from Nature, 2006

Hierarchical BOA, Cluster Exact Approximation, and Ising Spin Glasses.
Proceedings of the Parallel Problem Solving from Nature, 2006

Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm.
Proceedings of the Parallel Problem Solving from Nature, 2006

Efficient Interactive Weight Tuning For Tts Synthesis: Reducing User Fatigue By Improving User Consistency.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Evaluation relaxation using substructural information and linear estimation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Multiobjective genetic algorithms for multiscaling excited state direct dynamics in photochemistry.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Hierarchical BOA on random decomposable problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Analyzing active interactive genetic algorithms using visual analytics.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Fast rule matching for learning classifier systems via vector instructions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Fluctuating Crosstalk as a Source of Deterministic Noise and Its Effects on GA Scalability.
Proceedings of the Applications of Evolutionary Computing, 2006

2005
Strong, Stable, and Reliable Fitness Pressure in XCS due to Tournament Selection.
Genet. Program. Evolvable Mach., 2005

Decomposable Problems, Niching, and Scalability of Multiobjective Estimation of Distribution Algorithms
CoRR, 2005

Oiling the Wheels of Change: The Role of Adaptive Automatic Problem Decomposition in Non-Stationary Environments
CoRR, 2005

Population Sizing for Genetic Programming Based Upon Decision Making
CoRR, 2005

Binary Rule Encoding Schemes: A Study Using the Compact Classifier System.
Proceedings of the Learning Classifier Systems, International Workshops, 2005

Linkage learning, overlapping building blocks, and systematic strategy for scalable recombination.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Sub-structural niching in estimation of distribution algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Multiobjective hBOA, clustering, and scalability.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Scalability of genetic programming and probabilistic incremental program evolution.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitness.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

The compact classifier system: motivation, analysis, and first results.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Combining competent crossover and mutation operators: a probabilistic model building approach.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Online population size adjusting using noise and substructural measurements.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Limits of scalability of multiobjective estimation of distribution algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

The compact classifier system: scalability analysis and first results.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
Efficiency Enhancement of Probabilistic Model Building Genetic Algorithms
CoRR, 2004

Let's Get Ready to Rumble: Crossover Versus Mutation Head to Head.
Proceedings of the Genetic and Evolutionary Computation, 2004

Designing Competent Mutation Operators Via Probabilistic Model Building of Neighborhoods.
Proceedings of the Genetic and Evolutionary Computation, 2004

Fitness Inheritance in the Bayesian Optimization Algorithm.
Proceedings of the Genetic and Evolutionary Computation, 2004

Inducing Sequentiality Using Grammatical Genetic Codes.
Proceedings of the Genetic and Evolutionary Computation, 2004

Efficiency enhancement of genetic algorithms via building-block-wise fitness estimation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

Sub-structural Niching in Non-stationary Environments.
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004

2003
Optimal Sampling and Speed-Up for Genetic Algorithms on the Sampled OneMax Problem.
Proceedings of the Genetic and Evolutionary Computation, 2003

Scalability of Selectorecombinative Genetic Algorithms for Problems with Tight Linkage.
Proceedings of the Genetic and Evolutionary Computation, 2003

Tournament Selection: Stable Fitness Pressure in XCS.
Proceedings of the Genetic and Evolutionary Computation, 2003

Discovering Deep Building Blocks for Competent Genetic Algorithms Using Chance Discovery via KeyGraphs.
Proceedings of the Chance Discovery, 2003

2002
Scalability of the Bayesian optimization algorithm.
Int. J. Approx. Reason., 2002

Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Bias Values.
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.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Fitness Inheritance In Multi-objective Optimization.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002


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