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2020 – today
- 2022
[c62]Haoyu Yang, Zongyi Li
, Kumara Sastry, Saumyadip Mukhopadhyay, Mark Kilgard, Anima Anandkumar, Brucek Khailany, Vivek Singh, Haoxing Ren:
Generic lithography modeling with dual-band optics-inspired neural networks. DAC 2022: 973-978- [i16]Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Mark Kilgard, Anima Anandkumar, Brucek Khailany, Vivek Singh, Haoxing Ren:
Generic Lithography Modeling with Dual-band Optics-Inspired Neural Networks. CoRR abs/2203.08616 (2022) - [i15]Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Anima Anandkumar, Brucek Khailany, Vivek Singh, Haoxing Ren:
Large Scale Mask Optimization Via Convolutional Fourier Neural Operator and Litho-Guided Self Training. CoRR abs/2207.04056 (2022) - [i14]Mingjie Liu, Haoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Selim Dogru, Anima Anandkumar, David Z. Pan, Brucek Khailany, Haoxing Ren:
An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design. CoRR abs/2210.15765 (2022)
2010 – 2019
- 2012
- [j9]Mark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg:
Using Previous Models to Bias Structural Learning in the Hierarchical BOA. Evol. Comput. 20(1): 135-160 (2012)
2000 – 2009
- 2009
- [j8]Tian-Li Yu, David E. Goldberg, Kumara Sastry, Cláudio F. Lima, Martin Pelikan:
Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination. Evol. Comput. 17(4): 595-626 (2009) - [j7]Albert Orriols-Puig, Ester Bernadó-Mansilla, David E. Goldberg, Kumara Sastry, Pier Luca Lanzi:
Facetwise Analysis of XCS for Problems With Class Imbalances. IEEE Trans. Evol. Comput. 13(5): 1093-1119 (2009) - [j6]Mark Hauschild, Martin Pelikan, Kumara Sastry, Cláudio F. Lima:
Analyzing Probabilistic Models in Hierarchical BOA. IEEE Trans. Evol. Comput. 13(6): 1199-1217 (2009) - [c61]Martin Pelikan, Kumara Sastry:
Initial-population bias in the univariate estimation of distribution algorithm. GECCO 2009: 429-436 - [c60]Martin Pelikan, Kumara Sastry, David E. Goldberg, Martin V. Butz, Mark Hauschild:
Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap. GECCO 2009: 851-858 - 2008
- [j5]Martin Pelikan, Kumara Sastry, David E. Goldberg:
Sporadic model building for efficiency enhancement of the hierarchical BOA. Genet. Program. Evolvable Mach. 9(1): 53-84 (2008) - [c59]Mark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg:
Using previous models to bias structural learning in the hierarchical BOA. GECCO 2008: 415-422 - [c58]Martin Pelikan, Kumara Sastry, David E. Goldberg:
iBOA: the incremental bayesian optimization algorithm. GECCO 2008: 455-462 - [c57]Thyago S. P. C. Duque, David E. Goldberg, Kumara Sastry:
Improving the efficiency of the extended compact genetic algorithm. GECCO 2008: 467-468 - [c56]Yuji Sato, David E. Goldberg, Kumara Sastry:
Improving small population performance under noise with viral infection + tropism. GECCO 2008: 1143-1144 - [c55]Shunsuke Saruwatari, Xavier Llorà, Noriko Imafuji Yasui, Hiroshi Tamura, Kumara Sastry, David E. Goldberg:
Speeding online synthesis via enforced selecto-recombination. GECCO 2008: 1635-1642 - [c54]Thyago S. P. C. Duque, David E. Goldberg, Kumara Sastry:
Enhancing the Efficiency of the ECGA. PPSN 2008: 165-174 - [p9]Minqiang Li, David E. Goldberg, Kumara Sastry, Tian-Li Yu:
Real-Coded ECGA for Solving Decomposable Real-Valued Optimization Problems. Linkage in Evolutionary Computation 2008: 61-86 - [p8]Cláudio F. Lima, Martin Pelikan, David E. Goldberg, Fernando G. Lobo, Kumara Sastry, Mark Hauschild:
Linkage Learning Accuracy in the Bayesian Optimization Algorithm. Linkage in Evolutionary Computation 2008: 87-107 - [p7]Pier Luca Lanzi, Luigi Nichetti, Kumara Sastry, Davide Voltini, David E. Goldberg:
Real-Coded Extended Compact Genetic Algorithm Based on Mixtures of Models. Linkage in Evolutionary Computation 2008: 335-358 - [i13]Martin Pelikan, Kumara Sastry, David E. Goldberg:
iBOA: The Incremental Bayesian Optimization Algorithm. CoRR abs/0801.3113 (2008) - 2007
- [j4]David E. Goldberg, Kumara Sastry, Xavier Llorà:
Toward routine billion-variable optimization using genetic algorithms. Complex. 12(3): 27-29 (2007) - [j3]Martin V. Butz, David E. Goldberg, Pier Luca Lanzi, Kumara Sastry:
Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity. Genet. Program. Evolvable Mach. 8(1): 5-37 (2007) - [c53]Luca Fossati, Pier Luca Lanzi, Kumara Sastry, David E. Goldberg, Osvaldo Gómez:
A Simple Real-Coded Extended Compact Genetic Algorithm. IEEE Congress on Evolutionary Computation 2007: 342-348 - [c52]Cláudio F. Lima, Martin Pelikan, David E. Goldberg, Fernando G. Lobo, Kumara Sastry, Mark Hauschild:
Influence of selection and replacement strategies on linkage learning in BOA. IEEE Congress on Evolutionary Computation 2007: 1083-1090 - [c51]Minqiang Li, David E. Goldberg, Kumara Sastry, Tian-Li Yu:
Real-coded ECGA for solving decomposable real-valued optimization problems. IEEE Congress on Evolutionary Computation 2007: 2194-2201 - [c50]Jaume Bacardit, Michael Stout, Jonathan D. Hirst, Kumara Sastry, Xavier Llorà, Natalio Krasnogor:
Automated alphabet reduction method with evolutionary algorithms for protein structure prediction. GECCO 2007: 346-353 - [c49]Mark Hauschild, Martin Pelikan, Cláudio F. Lima, Kumara Sastry:
Analyzing probabilistic models in hierarchical BOA on traps and spin glasses. GECCO 2007: 523-530 - [c48]Kumara Sastry, David E. Goldberg, Xavier Llorà:
Towards billion-bit optimization via a parallel estimation of distribution algorithm. GECCO 2007: 577-584 - [c47]Tian-Li Yu, Kumara Sastry, David E. Goldberg, Martin Pelikan:
Population sizing for entropy-based model building in discrete estimation of distribution algorithms. GECCO 2007: 601-608 - [c46]Kumara Sastry, David E. Goldberg:
Let's get ready to rumble redux: crossover versus mutation head to head on exponentially scaled problems. GECCO 2007: 1380-1387 - [c45]Kumara Sastry, Martin Pelikan, David E. Goldberg:
Empirical analysis of ideal recombination on random decomposable problems. GECCO 2007: 1388-1395 - [c44]Xavier Llorà, Kumara Sastry, Tian-Li Yu, David E. Goldberg:
Do not match, inherit: fitness surrogates for genetics-based machine learning techniques. GECCO 2007: 1798-1805 - [c43]Albert Orriols-Puig, David E. Goldberg, Kumara Sastry, Ester Bernadó-Mansilla:
Modeling XCS in class imbalances: population size and parameter settings. GECCO 2007: 1838-1845 - [c42]Albert Orriols-Puig, Kumara Sastry, Pier Luca Lanzi, David E. Goldberg, Ester Bernadó-Mansilla:
Modeling selection pressure in XCS for proportionate and tournament selection. GECCO 2007: 1846-1853 - [c41]Albert Orriols-Puig, Ester Bernadó-Mansilla, Kumara Sastry, David E. Goldberg:
Substructrual surrogates for learning decomposable classification problems: implementation and first results. GECCO (Companion) 2007: 2875-2882 - [c40]Minqiang Li, David E. Goldberg, Kumara Sastry, Tian-Li Yu:
Performance Analyses of Factorization Based on Gaussian PDF In rECGA. ICNC (4) 2007: 362-369 - [c39]Thyago S. P. C. Duque, Kumara Sastry, Alexandre C. B. Delbem, David E. Goldberg:
Evolutionary Algorithm for Large Scale Problems. ISDA 2007: 819-822 - [c38]Pier Luca Lanzi, Stefano Rocca, Kumara Sastry, Stefania Solari:
Analysis of Population Evolution in Classifier Systems Using Symbolic Representations. IWLCS 2007: 22-45 - [c37]Xavier Llorà, Kumara Sastry, Cláudio F. Lima, Fernando G. Lobo, David E. Goldberg:
Linkage Learning, Rule Representation, and the X-Ary Extended Compact Classifier System. IWLCS 2007: 189-205 - [c36]Albert Orriols-Puig, Kumara Sastry, David E. Goldberg, Ester Bernadó-Mansilla:
Substructural Surrogates for Learning Decomposable Classification Problems. IWLCS 2007: 235-254 - [p6]Tian-Li Yu, Kumara Sastry, David E. Goldberg:
Population Sizing to Go: Online Adaptation Using Noise and Substructural Measurements. Parameter Setting in Evolutionary Algorithms 2007: 205-223 - 2006
- [c35]Kumara Sastry, Paul Winward, David E. Goldberg, Cláudio F. Lima:
Fluctuating Crosstalk as a Source of Deterministic Noise and Its Effects on GA Scalability. EvoWorkshops 2006: 740-751 - [c34]Martin Pelikan, Kumara Sastry, David E. Goldberg:
Sporadic model building for efficiency enhancement of hierarchical BOA. GECCO 2006: 405-412 - [c33]Kumara Sastry, Cláudio F. Lima, David E. Goldberg:
Evaluation relaxation using substructural information and linear estimation. GECCO 2006: 419-426 - [c32]Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg:
Hierarchical BOA on random decomposable problems. GECCO 2006: 431-432 - [c31]Xavier Llorà, Kumara Sastry, Francesc Alías, David E. Goldberg, Michael Welge:
Analyzing active interactive genetic algorithms using visual analytics. GECCO 2006: 1417-1418 - [c30]Xavier Llorà, Kumara Sastry:
Fast rule matching for learning classifier systems via vector instructions. GECCO 2006: 1513-1520 - [c29]Kumara Sastry, D. D. Johnson, Alexis L. Thompson, David E. Goldberg, Todd J. Martínez, Jeff Leiding, Jane Owens:
Multiobjective genetic algorithms for multiscaling excited state direct dynamics in photochemistry. GECCO 2006: 1745-1752 - [c28]Francesc Alías, Xavier Llorà, Lluís Formiga, Kumara Sastry, David E. Goldberg:
Efficient Interactive Weight Tuning For Tts Synthesis: Reducing User Fatigue By Improving User Consistency. ICASSP (1) 2006: 865-868 - [c27]Martin Pelikan, Alexander K. Hartmann, Kumara Sastry:
Hierarchical BOA, Cluster Exact Approximation, and Ising Spin Glasses. PPSN 2006: 122-131 - [c26]Cláudio F. Lima, Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg, Fernando G. Lobo:
Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm. PPSN 2006: 232-241 - [c25]Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg:
Performance of Evolutionary Algorithms on Random Decomposable Problems. PPSN 2006: 788-797 - [p5]Martin Pelikan, Kumara Sastry, Erick Cantú-Paz:
Introduction. Scalable Optimization via Probabilistic Modeling 2006: 1-10 - [p4]Georges R. Harik, Fernando G. Lobo, Kumara Sastry:
Linkage Learning via Probabilistic Modeling in the Extended Compact Genetic Algorithm (ECGA). Scalable Optimization via Probabilistic Modeling 2006: 39-61 - [p3]Kumara Sastry, Martin Pelikan, David E. Goldberg:
Efficiency Enhancement of Estimation of Distribution Algorithms. Scalable Optimization via Probabilistic Modeling 2006: 161-185 - [p2]Martin Pelikan, Kumara Sastry, David E. Goldberg:
Multiobjective Estimation of Distribution Algorithms. Scalable Optimization via Probabilistic Modeling 2006: 223-248 - [e1]Martin Pelikan, Kumara Sastry, Erick Cantú-Paz:
Scalable Optimization via Probabilistic Modeling. Studies in Computational Intelligence 33, Springer 2006, ISBN 978-3-540-34953-2 [contents] - 2005
- [j2]Martin V. Butz, Kumara Sastry, David E. Goldberg:
Strong, Stable, and Reliable Fitness Pressure in XCS due to Tournament Selection. Genet. Program. Evolvable Mach. 6(1): 53-77 (2005) - [c24]Xavier Llorà, Kumara Sastry, David E. Goldberg:
The compact classifier system: scalability analysis and first results. Congress on Evolutionary Computation 2005: 596-603 - [c23]Kumara Sastry, David E. Goldberg, Martin Pelikan:
Limits of scalability of multiobjective estimation of distribution algorithms. Congress on Evolutionary Computation 2005: 2217-2224 - [c22]Tian-Li Yu, Kumara Sastry, David E. Goldberg:
Online population size adjusting using noise and substructural measurements. Congress on Evolutionary Computation 2005: 2491-2498 - [c21]Xavier Llorà, Kumara Sastry, David E. Goldberg:
Binary rule encoding schemes: a study using the compact classifier system. GECCO Workshops 2005: 88-89 - [c20]Martin Pelikan, Kumara Sastry, David E. Goldberg:
Multiobjective hBOA, clustering, and scalability. GECCO 2005: 663-670 - [c19]Kumara Sastry, Hussein A. Abbass, David E. Goldberg, D. D. Johnson:
Sub-structural niching in estimation of distribution algorithms. GECCO 2005: 671-678 - [c18]Cláudio F. Lima, Kumara Sastry, David E. Goldberg, Fernando G. Lobo:
Combining competent crossover and mutation operators: a probabilistic model building approach. GECCO 2005: 735-742 - [c17]Tian-Li Yu, Kumara Sastry, David E. Goldberg:
Linkage learning, overlapping building blocks, and systematic strategy for scalable recombination. GECCO 2005: 1217-1224 - [c16]Xavier Llorà, Kumara Sastry, David E. Goldberg, Abhimanyu Gupta, Lalitha Lakshmi:
Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitness. GECCO 2005: 1363-1370 - [c15]Radovan Ondas, Martin Pelikan, Kumara Sastry:
Scalability of genetic programming and probabilistic incremental program evolution. GECCO 2005: 1785-1786 - [c14]Xavier Llorà, Kumara Sastry, David E. Goldberg:
The compact classifier system: motivation, analysis, and first results. GECCO 2005: 1993-1994 - [c13]Xavier Llorà, Kumara Sastry, David E. Goldberg:
Binary Rule Encoding Schemes: A Study Using the Compact Classifier System. IWLCS 2005: 40-58 - [i12]Kumara Sastry, Una-May O'Reilly, David E. Goldberg:
Population Sizing for Genetic Programming Based Upon Decision Making. CoRR abs/cs/0502020 (2005) - [i11]Hussein A. Abbass, Kumara Sastry, David E. Goldberg:
Oiling the Wheels of Change: The Role of Adaptive Automatic Problem Decomposition in Non-Stationary Environments. CoRR abs/cs/0502021 (2005) - [i10]Kumara Sastry, Hussein A. Abbass, David E. Goldberg:
Sub-Structural Niching in Non-Stationary Environments. CoRR abs/cs/0502022 (2005) - [i9]Kumara Sastry, Hussein A. Abbass, David E. Goldberg, D. D. Johnson:
Sub-structural Niching in Estimation of Distribution Algorithms. CoRR abs/cs/0502023 (2005) - [i8]Radovan Ondas, Martin Pelikan, Kumara Sastry:
Scalability of Genetic Programming and Probabilistic Incremental Program Evolution. CoRR abs/cs/0502029 (2005) - [i7]Martin Pelikan, Kumara Sastry, David E. Goldberg:
Multiobjective hBOA, Clustering, and Scalability. CoRR abs/cs/0502034 (2005) - [i6]Kumara Sastry, Martin Pelikan, David E. Goldberg:
Decomposable Problems, Niching, and Scalability of Multiobjective Estimation of Distribution Algorithms. CoRR abs/cs/0502057 (2005) - 2004
- [c12]Kumara Sastry, Hussein A. Abbass, David E. Goldberg:
Sub-structural Niching in Non-stationary Environments. Australian Conference on Artificial Intelligence 2004: 873-885 - [c11]Kumara Sastry, Martin Pelikan, David E. Goldberg:
Efficiency enhancement of genetic algorithms via building-block-wise fitness estimation. IEEE Congress on Evolutionary Computation 2004: 720-727 - [c10]Martin Pelikan, Kumara Sastry:
Fitness Inheritance in the Bayesian Optimization Algorithm. GECCO (2) 2004: 48-59 - [c9]Kumara Sastry, David E. Goldberg:
Designing Competent Mutation Operators Via Probabilistic Model Building of Neighborhoods. GECCO (2) 2004: 114-125 - [c8]Kumara Sastry, David E. Goldberg:
Let's Get Ready to Rumble: Crossover Versus Mutation Head to Head. GECCO (2) 2004: 126-137 - [c7]Kei Ohnishi, Kumara Sastry, Ying-Ping Chen, David E. Goldberg:
Inducing Sequentiality Using Grammatical Genetic Codes. GECCO (1) 2004: 1426-1437 - [i5]Martin Pelikan, Kumara Sastry:
Fitness inheritance in the Bayesian optimization algorithm. CoRR cs.NE/0402032 (2004) - [i4]Kumara Sastry, David E. Goldberg, Martin Pelikan:
Efficiency Enhancement of Probabilistic Model Building Genetic Algorithms. CoRR cs.NE/0405062 (2004) - [i3]Kumara Sastry, David E. Goldberg:
Let's Get Ready to Rumble: Crossover Versus Mutation Head to Head. CoRR cs.NE/0405063 (2004) - [i2]Kumara Sastry, David E. Goldberg:
Designing Competent Mutation Operators via Probabilistic Model Building of Neighborhoods. CoRR cs.NE/0405064 (2004) - [i1]Kumara Sastry, Martin Pelikan, David E. Goldberg:
Efficiency Enhancement of Genetic Algorithms via Building-Block-Wise Fitness Estimation. CoRR cs.NE/0405065 (2004) - 2003
- [c6]Kumara Sastry, David E. Goldberg:
Scalability of Selectorecombinative Genetic Algorithms for Problems with Tight Linkage. GECCO 2003: 1332-1344 - [c5]Tian-Li Yu, David E. Goldberg, Kumara Sastry:
Optimal Sampling and Speed-Up for Genetic Algorithms on the Sampled OneMax Problem. GECCO 2003: 1554-1565 - [c4]Martin V. Butz, Kumara Sastry, David E. Goldberg:
Tournament Selection: Stable Fitness Pressure in XCS. GECCO 2003: 1857-1869 - [p1]David E. Goldberg, Kumara Sastry, Yukio Ohsawa:
Discovering Deep Building Blocks for Competent Genetic Algorithms Using Chance Discovery via KeyGraphs. Chance Discovery 2003: 276-302 - 2002
- [j1]Martin Pelikan, Kumara Sastry, David E. Goldberg:
Scalability of the Bayesian optimization algorithm. Int. J. Approx. Reason. 31(3): 221-258 (2002) - [c3]Jian-Hung Chen, David E. Goldberg, Shinn-Ying Ho, Kumara Sastry:
Fitness Inheritance In Multi-objective Optimization. GECCO 2002: 319-326 - [c2]Kumara Sastry, David E. Goldberg:
Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Variances. GECCO 2002: 528-535 - [c1]Kumara Sastry, David E. Goldberg:
Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Bias Values. GECCO 2002: 536-543
Coauthor Index
[j9] [j8] [j7] [c60] [j5] [c59] [c58] [c57] [c56] [c55] [c54] [p9] [p8] [p7] [i13] [j4] [j3] [c53] [c52] [c51] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c37] [c36] [p6] [c35] [c34] [c33] [c32] [c31] [c29] [c28] [c26] [c25] [p3] [p2] [j2] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c14] [c13] [i12] [i11] [i10] [i9] [i7] [i6] [c12] [c11] [c9] [c8] [c7] [i4] [i3] [i2] [i1] [c6] [c5] [c4] [p1] [j1] [c3] [c2] [c1]
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