Kumara Sastry
According to our database1,
Kumara Sastry
authored at least 83 papers
between 2002 and 2022.
Collaborative distances:
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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
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
2012
Evol. Comput., 2012
2009
IEEE Trans. Evol. Comput., 2009
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
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
2008
Proceedings of the Linkage in Evolutionary Computation, 2008
Proceedings of the Linkage in Evolutionary Computation, 2008
Proceedings of the Linkage in Evolutionary Computation, 2008
Genet. Program. Evolvable Mach., 2008
Proceedings of the Parallel Problem Solving from Nature, 2008
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
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
Complex., 2007
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
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007
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
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
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
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
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
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006
Proceedings of the Scalable Optimization via Probabilistic Modeling, 2006
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
Proceedings of the Parallel Problem Solving from Nature, 2006
Proceedings of the Parallel Problem Solving from Nature, 2006
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
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
Proceedings of the Genetic and Evolutionary Computation Conference, 2006
Proceedings of the Genetic and Evolutionary Computation Conference, 2006
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
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
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
Proceedings of the Genetic and Evolutionary Computation Conference, 2005
Proceedings of the Genetic and Evolutionary Computation Conference, 2005
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
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
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
2004
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
Proceedings of the Genetic and Evolutionary Computation, 2004
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
Proceedings of the AI 2004: Advances in Artificial Intelligence, 2004
2003
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
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
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