Kumara Sastry - RankMe

98 papers A* 1A 39B 7C 1Journal 26Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Transforming Computational Lithography with AC and AI - Faster, More Accurate, and Energy-efficient. CoRR Saumyadip Mukhopadhyay, Kiho Yang, Kasyap Thottasserymana Vasudevan, Mounica Jyothi Divvela, Selim Dogru, Dilip Krishnamurthy, Fergo Treska, Werner Gillijns, Ryan Ryoung Han Kim, Kumara Sastry, Vivek Singh
2022	J	`jnl`	An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design. CoRR Mingjie Liu, Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Selim Dogru, Anima Anandkumar, David Z. Pan, Brucek Khailany, Haoxing Ren
2022	J	`jnl`	Generic Lithography Modeling with Dual-band Optics-Inspired Neural Networks. CoRR Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Mark Kilgard, Anima Anandkumar, Brucek Khailany, Vivek Singh, Haoxing Ren
2022	A*	`conf`	Generic lithography modeling with dual-band optics-inspired neural networks. DAC Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Mark Kilgard, Anima Anandkumar, Brucek Khailany, Vivek Singh, Haoxing Ren
2022	J	`jnl`	Large Scale Mask Optimization Via Convolutional Fourier Neural Operator and Litho-Guided Self Training. CoRR Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Anima Anandkumar, Brucek Khailany, Vivek Singh, Haoxing Ren
2012	J	`jnl`	Using Previous Models to Bias Structural Learning in the Hierarchical BOA. Evol. Comput. Mark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg
2009	J	`jnl`	Analyzing Probabilistic Models in Hierarchical BOA. IEEE Trans. Evol. Comput. Mark Hauschild, Martin Pelikan, Kumara Sastry, Cláudio F. Lima
2009	J	`jnl`	Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination. Evol. Comput. Tian-Li Yu, David E. Goldberg, Kumara Sastry, Cláudio F. Lima, Martin Pelikan
2009	J	`jnl`	Facetwise Analysis of XCS for Problems With Class Imbalances. IEEE Trans. Evol. Comput. Albert Orriols-Puig, Ester Bernadó-Mansilla, David E. Goldberg, Kumara Sastry, Pier Luca Lanzi
2009	A	`conf`	Initial-population bias in the univariate estimation of distribution algorithm. GECCO Martin Pelikan, Kumara Sastry
2009	A	`conf`	Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap. GECCO Martin Pelikan, Kumara Sastry, David E. Goldberg, Martin V. Butz, Mark Hauschild
2008	A	`conf`	Enhancing the Efficiency of the ECGA. PPSN Thyago S. P. C. Duque, David E. Goldberg, Kumara Sastry
2008	A	`conf`	Improving small population performance under noise with viral infection + tropism. GECCO Yuji Sato, David E. Goldberg, Kumara Sastry
2008	A	`conf`	Improving the efficiency of the extended compact genetic algorithm. GECCO Thyago S. P. C. Duque, David E. Goldberg, Kumara Sastry
2008	—	`ch.`	Linkage Learning Accuracy in the Bayesian Optimization Algorithm. Linkage in Evolutionary Computation Cláudio F. Lima, Martin Pelikan, David E. Goldberg, Fernando G. Lobo, Kumara Sastry, Mark Hauschild
2008	—	`ch.`	Real-Coded ECGA for Solving Decomposable Real-Valued Optimization Problems. Linkage in Evolutionary Computation Minqiang Li, David E. Goldberg, Kumara Sastry, Tian-Li Yu
2008	—	`ch.`	Real-Coded Extended Compact Genetic Algorithm Based on Mixtures of Models. Linkage in Evolutionary Computation Pier Luca Lanzi, Luigi Nichetti, Kumara Sastry, Davide Voltini, David E. Goldberg
2008	A	`conf`	Speeding online synthesis via enforced selecto-recombination. GECCO Shunsuke Saruwatari, Xavier Llorà, Noriko Imafuji Yasui, Hiroshi Tamura, Kumara Sastry, David E. Goldberg
2008	J	`jnl`	Sporadic model building for efficiency enhancement of the hierarchical BOA. Genet. Program. Evolvable Mach. Martin Pelikan, Kumara Sastry, David E. Goldberg
2008	A	`conf`	Using previous models to bias structural learning in the hierarchical BOA. GECCO Mark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg
2008	J	`jnl`	iBOA: The Incremental Bayesian Optimization Algorithm CoRR Martin Pelikan, Kumara Sastry, David E. Goldberg
2008	A	`conf`	iBOA: the incremental bayesian optimization algorithm. GECCO Martin Pelikan, Kumara Sastry, David E. Goldberg
2007	B	`conf`	A Simple Real-Coded Extended Compact Genetic Algorithm. IEEE Congress on Evolutionary Computation Luca Fossati, Pier Luca Lanzi, Kumara Sastry, David E. Goldberg, Osvaldo Gómez
2007	—	`conf`	Analysis of Population Evolution in Classifier Systems Using Symbolic Representations. IWLCS Pier Luca Lanzi, Stefano Rocca, Kumara Sastry, Stefania Solari
2007	A	`conf`	Analyzing probabilistic models in hierarchical BOA on traps and spin glasses. GECCO Mark Hauschild, Martin Pelikan, Cláudio F. Lima, Kumara Sastry
2007	A	`conf`	Automated alphabet reduction method with evolutionary algorithms for protein structure prediction. GECCO Jaume Bacardit, Michael Stout, Jonathan D. Hirst, Kumara Sastry, Xavier Llorà, Natalio Krasnogor
2007	A	`conf`	Do not match, inherit: fitness surrogates for genetics-based machine learning techniques. GECCO Xavier Llorà, Kumara Sastry, Tian-Li Yu, David E. Goldberg
2007	A	`conf`	Empirical analysis of ideal recombination on random decomposable problems. GECCO Kumara Sastry, Martin Pelikan, David E. Goldberg
2007	C	`conf`	Evolutionary Algorithm for Large Scale Problems. ISDA Thyago S. P. C. Duque, Kumara Sastry, Alexandre C. B. Delbem, David E. Goldberg
2007	B	`conf`	Influence of selection and replacement strategies on linkage learning in BOA. IEEE Congress on Evolutionary Computation Cláudio F. Lima, Martin Pelikan, David E. Goldberg, Fernando G. Lobo, Kumara Sastry, Mark Hauschild
2007	A	`conf`	Let's get ready to rumble redux: crossover versus mutation head to head on exponentially scaled problems. GECCO Kumara Sastry, David E. Goldberg
2007	—	`conf`	Linkage Learning, Rule Representation, and the X-Ary Extended Compact Classifier System. IWLCS Xavier Llorà, Kumara Sastry, Cláudio F. Lima, Fernando G. Lobo, David E. Goldberg
2007	A	`conf`	Modeling XCS in class imbalances: population size and parameter settings. GECCO Albert Orriols-Puig, David E. Goldberg, Kumara Sastry, Ester Bernadó-Mansilla
2007	A	`conf`	Modeling selection pressure in XCS for proportionate and tournament selection. GECCO Albert Orriols-Puig, Kumara Sastry, Pier Luca Lanzi, David E. Goldberg, Ester Bernadó-Mansilla
2007	—	`conf`	Performance Analyses of Factorization Based on Gaussian PDF In rECGA. ICNC (4) Minqiang Li, David E. Goldberg, Kumara Sastry, Tian-Li Yu
2007	—	`ch.`	Population Sizing to Go: Online Adaptation Using Noise and Substructural Measurements. Parameter Setting in Evolutionary Algorithms Tian-Li Yu, Kumara Sastry, David E. Goldberg
2007	A	`conf`	Population sizing for entropy-based model building in discrete estimation of distribution algorithms. GECCO Tian-Li Yu, Kumara Sastry, David E. Goldberg, Martin Pelikan
2007	J	`jnl`	Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity. Genet. Program. Evolvable Mach. Martin V. Butz, David E. Goldberg, Pier Luca Lanzi, Kumara Sastry
2007	B	`conf`	Real-coded ECGA for solving decomposable real-valued optimization problems. IEEE Congress on Evolutionary Computation Minqiang Li, David E. Goldberg, Kumara Sastry, Tian-Li Yu
2007	—	`conf`	Substructrual surrogates for learning decomposable classification problems: implementation and first results. GECCO (Companion) Albert Orriols-Puig, Ester Bernadó-Mansilla, Kumara Sastry, David E. Goldberg
2007	—	`conf`	Substructural Surrogates for Learning Decomposable Classification Problems. IWLCS Albert Orriols-Puig, Kumara Sastry, David E. Goldberg, Ester Bernadó-Mansilla
2007	J	`jnl`	Toward routine billion-variable optimization using genetic algorithms. Complex. David E. Goldberg, Kumara Sastry, Xavier Llorà
2007	A	`conf`	Towards billion-bit optimization via a parallel estimation of distribution algorithm. GECCO Kumara Sastry, David E. Goldberg, Xavier Llorà
2006	A	`conf`	Analyzing active interactive genetic algorithms using visual analytics. GECCO Xavier Llorà, Kumara Sastry, Francesc Alías, David E. Goldberg, Michael Welge
2006	—	`ch.`	Efficiency Enhancement of Estimation of Distribution Algorithms. Scalable Optimization via Probabilistic Modeling Kumara Sastry, Martin Pelikan, David E. Goldberg
2006	—	`conf`	Efficient Interactive Weight Tuning For Tts Synthesis: Reducing User Fatigue By Improving User Consistency. ICASSP (1) Francesc Alías, Xavier Llorà, Lluís Formiga, Kumara Sastry, David E. Goldberg
2006	A	`conf`	Evaluation relaxation using substructural information and linear estimation. GECCO Kumara Sastry, Cláudio F. Lima, David E. Goldberg
2006	A	`conf`	Fast rule matching for learning classifier systems via vector instructions. GECCO Xavier Llorà, Kumara Sastry
2006	—	`conf`	Fluctuating Crosstalk as a Source of Deterministic Noise and Its Effects on GA Scalability. EvoWorkshops Kumara Sastry, Paul Winward, David E. Goldberg, Cláudio F. Lima
2006	A	`conf`	Hierarchical BOA on random decomposable problems. GECCO Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg
2006	A	`conf`	Hierarchical BOA, Cluster Exact Approximation, and Ising Spin Glasses. PPSN Martin Pelikan, Alexander K. Hartmann, Kumara Sastry
2006	—	`ch.`	Introduction. Scalable Optimization via Probabilistic Modeling Martin Pelikan, Kumara Sastry, Erick Cantú-Paz
2006	—	`ch.`	Linkage Learning via Probabilistic Modeling in the Extended Compact Genetic Algorithm (ECGA). Scalable Optimization via Probabilistic Modeling Georges R. Harik, Fernando G. Lobo, Kumara Sastry
2006	—	`ch.`	Multiobjective Estimation of Distribution Algorithms. Scalable Optimization via Probabilistic Modeling Martin Pelikan, Kumara Sastry, David E. Goldberg
2006	A	`conf`	Multiobjective genetic algorithms for multiscaling excited state direct dynamics in photochemistry. GECCO Kumara Sastry, D. D. Johnson, Alexis L. Thompson, David E. Goldberg, Todd J. Martínez, Jeff Leiding, Jane Owens
2006	A	`conf`	Performance of Evolutionary Algorithms on Random Decomposable Problems. PPSN Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg
2006	—	`book`	Scalable Optimization via Probabilistic Modeling Martin Pelikan, Kumara Sastry, Erick Cantú-Paz
2006	A	`conf`	Sporadic model building for efficiency enhancement of hierarchical BOA. GECCO Martin Pelikan, Kumara Sastry, David E. Goldberg
2006	A	`conf`	Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm. PPSN Cláudio F. Lima, Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg, Fernando G. Lobo
2005	—	`conf`	Binary Rule Encoding Schemes: A Study Using the Compact Classifier System. IWLCS Xavier Llorà, Kumara Sastry, David E. Goldberg
2005	—	`conf`	Binary rule encoding schemes: a study using the compact classifier system. GECCO Workshops Xavier Llorà, Kumara Sastry, David E. Goldberg
2005	A	`conf`	Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitness. GECCO Xavier Llorà, Kumara Sastry, David E. Goldberg, Abhimanyu Gupta, Lalitha Lakshmi
2005	A	`conf`	Combining competent crossover and mutation operators: a probabilistic model building approach. GECCO Cláudio F. Lima, Kumara Sastry, David E. Goldberg, Fernando G. Lobo
2005	J	`jnl`	Decomposable Problems, Niching, and Scalability of Multiobjective Estimation of Distribution Algorithms CoRR Kumara Sastry, Martin Pelikan, David E. Goldberg
2005	B	`conf`	Limits of scalability of multiobjective estimation of distribution algorithms. Congress on Evolutionary Computation Kumara Sastry, David E. Goldberg, Martin Pelikan
2005	A	`conf`	Linkage learning, overlapping building blocks, and systematic strategy for scalable recombination. GECCO Tian-Li Yu, Kumara Sastry, David E. Goldberg
2005	J	`jnl`	Multiobjective hBOA, Clustering, and Scalability CoRR Martin Pelikan, Kumara Sastry, David E. Goldberg
2005	A	`conf`	Multiobjective hBOA, clustering, and scalability. GECCO Martin Pelikan, Kumara Sastry, David E. Goldberg
2005	J	`jnl`	Oiling the Wheels of Change: The Role of Adaptive Automatic Problem Decomposition in Non-Stationary Environments CoRR Hussein A. Abbass, Kumara Sastry, David E. Goldberg
2005	B	`conf`	Online population size adjusting using noise and substructural measurements. Congress on Evolutionary Computation Tian-Li Yu, Kumara Sastry, David E. Goldberg
2005	J	`jnl`	Population Sizing for Genetic Programming Based Upon Decision Making CoRR Kumara Sastry, Una-May O'Reilly, David E. Goldberg
2005	J	`jnl`	Scalability of Genetic Programming and Probabilistic Incremental Program Evolution CoRR Radovan Ondas, Martin Pelikan, Kumara Sastry
2005	A	`conf`	Scalability of genetic programming and probabilistic incremental program evolution. GECCO Radovan Ondas, Martin Pelikan, Kumara Sastry
2005	J	`jnl`	Strong, Stable, and Reliable Fitness Pressure in XCS due to Tournament Selection. Genet. Program. Evolvable Mach. Martin V. Butz, Kumara Sastry, David E. Goldberg
2005	J	`jnl`	Sub-Structural Niching in Non-Stationary Environments CoRR Kumara Sastry, Hussein A. Abbass, David E. Goldberg
2005	J	`jnl`	Sub-structural Niching in Estimation of Distribution Algorithms CoRR Kumara Sastry, Hussein A. Abbass, David E. Goldberg, D. D. Johnson
2005	A	`conf`	Sub-structural niching in estimation of distribution algorithms. GECCO Kumara Sastry, Hussein A. Abbass, David E. Goldberg, D. D. Johnson
2005	A	`conf`	The compact classifier system: motivation, analysis, and first results. GECCO Xavier Llorà, Kumara Sastry, David E. Goldberg
2005	B	`conf`	The compact classifier system: scalability analysis and first results. Congress on Evolutionary Computation Xavier Llorà, Kumara Sastry, David E. Goldberg
2004	—	`conf`	Designing Competent Mutation Operators Via Probabilistic Model Building of Neighborhoods. GECCO (2) Kumara Sastry, David E. Goldberg
2004	J	`jnl`	Designing Competent Mutation Operators via Probabilistic Model Building of Neighborhoods CoRR Kumara Sastry, David E. Goldberg
2004	J	`jnl`	Efficiency Enhancement of Genetic Algorithms via Building-Block-Wise Fitness Estimation CoRR Kumara Sastry, Martin Pelikan, David E. Goldberg
2004	J	`jnl`	Efficiency Enhancement of Probabilistic Model Building Genetic Algorithms CoRR Kumara Sastry, David E. Goldberg, Martin Pelikan
2004	B	`conf`	Efficiency enhancement of genetic algorithms via building-block-wise fitness estimation. IEEE Congress on Evolutionary Computation Kumara Sastry, Martin Pelikan, David E. Goldberg
2004	—	`conf`	Fitness Inheritance in the Bayesian Optimization Algorithm. GECCO (2) Martin Pelikan, Kumara Sastry
2004	J	`jnl`	Fitness inheritance in the Bayesian optimization algorithm CoRR Martin Pelikan, Kumara Sastry
2004	—	`conf`	Inducing Sequentiality Using Grammatical Genetic Codes. GECCO (1) Kei Ohnishi, Kumara Sastry, Ying-Ping Chen, David E. Goldberg
2004	J	`jnl`	Let's Get Ready to Rumble: Crossover Versus Mutation Head to Head CoRR Kumara Sastry, David E. Goldberg
2004	—	`conf`	Let's Get Ready to Rumble: Crossover Versus Mutation Head to Head. GECCO (2) Kumara Sastry, David E. Goldberg
2004	—	`conf`	Sub-structural Niching in Non-stationary Environments. Australian Conference on Artificial Intelligence Kumara Sastry, Hussein A. Abbass, David E. Goldberg
2003	—	`ch.`	Discovering Deep Building Blocks for Competent Genetic Algorithms Using Chance Discovery via KeyGraphs. Chance Discovery David E. Goldberg, Kumara Sastry, Yukio Ohsawa
2003	A	`conf`	Optimal Sampling and Speed-Up for Genetic Algorithms on the Sampled OneMax Problem. GECCO Tian-Li Yu, David E. Goldberg, Kumara Sastry
2003	A	`conf`	Scalability of Selectorecombinative Genetic Algorithms for Problems with Tight Linkage. GECCO Kumara Sastry, David E. Goldberg
2003	A	`conf`	Tournament Selection: Stable Fitness Pressure in XCS. GECCO Martin V. Butz, Kumara Sastry, David E. Goldberg
2002	A	`conf`	Fitness Inheritance In Multi-objective Optimization. GECCO Jian-Hung Chen, David E. Goldberg, Shinn-Ying Ho, Kumara Sastry
2002	A	`conf`	Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Bias Values. GECCO Kumara Sastry, David E. Goldberg
2002	A	`conf`	Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Variances. GECCO Kumara Sastry, David E. Goldberg
2002	J	`jnl`	Scalability of the Bayesian optimization algorithm. Int. J. Approx. Reason. Martin Pelikan, Kumara Sastry, David E. Goldberg