default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDKumara Sastry
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-05 21:11 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
