Kumara Sastry - researchr alias

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Viewing Publication 1 - 80 from 80

2022

Generic lithography modeling with dual-band optics-inspired neural networksHaoyu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Mark Kilgard, Anima Anandkumar, Brucek Khailany, Vivek Singh, Haoxing Ren. dac 2022: 973-978 [doi]

2012

Using Previous Models to Bias Structural Learning in the Hierarchical BOAMark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg. ec, 20(1):135-160, 2012. [doi]

2009

Analyzing Probabilistic Models in Hierarchical BOAMark Hauschild, Martin Pelikan, Kumara Sastry, Cláudio F. Lima. tec, 13(6):1199-1217, 2009. [doi]

Facetwise Analysis of XCS for Problems With Class ImbalancesAlbert Orriols-Puig, Ester Bernadó-Mansilla, David E. Goldberg, Kumara Sastry, Pier Luca Lanzi. tec, 13(5):1093-1119, 2009. [doi]

Initial-population bias in the univariate estimation of distribution algorithmMartin Pelikan, Kumara Sastry. gecco 2009: 429-436 [doi]

Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlapMartin Pelikan, Kumara Sastry, David E. Goldberg, Martin V. Butz, Mark Hauschild. gecco 2009: 851-858 [doi]

Dependency Structure Matrix, Genetic Algorithms, and Effective RecombinationTian-Li Yu, David E. Goldberg, Kumara Sastry, Cláudio F. Lima, Martin Pelikan. ec, 17(4):595-626, 2009. [doi]

2008

Improving the efficiency of the extended compact genetic algorithmThyago S. P. C. Duque, David E. Goldberg, Kumara Sastry. gecco 2008: 467-468 [doi]

Enhancing the Efficiency of the ECGAThyago S. P. C. Duque, David E. Goldberg, Kumara Sastry. ppsn 2008: 165-174 [doi]

Using previous models to bias structural learning in the hierarchical BOAMark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg. gecco 2008: 415-422 [doi]

Real-Coded Extended Compact Genetic Algorithm Based on Mixtures of ModelsPier Luca Lanzi, Luigi Nichetti, Kumara Sastry, Davide Voltini, David E. Goldberg. In Ying-Ping Chen, Meng-Hiot Lim, editors, Linkage in Evolutionary Computation. Volume 157 of Studies in Computational Intelligence, pages 335-358, Springer, 2008. [doi]

Real-Coded ECGA for Solving Decomposable Real-Valued Optimization ProblemsMinqiang Li, David E. Goldberg, Kumara Sastry, Tian-Li Yu. In Ying-Ping Chen, Meng-Hiot Lim, editors, Linkage in Evolutionary Computation. Volume 157 of Studies in Computational Intelligence, pages 61-86, Springer, 2008. [doi]

Linkage Learning Accuracy in the Bayesian Optimization AlgorithmCláudio F. Lima, Martin Pelikan, David E. Goldberg, Fernando G. Lobo, Kumara Sastry, Mark Hauschild. In Ying-Ping Chen, Meng-Hiot Lim, editors, Linkage in Evolutionary Computation. Volume 157 of Studies in Computational Intelligence, pages 87-107, Springer, 2008. [doi]

iBOA: the incremental bayesian optimization algorithmMartin Pelikan, Kumara Sastry, David E. Goldberg. gecco 2008: 455-462 [doi]

Sporadic model building for efficiency enhancement of the hierarchical BOAMartin Pelikan, Kumara Sastry, David E. Goldberg. gpem, 9(1):53-84, 2008. [doi]

Speeding online synthesis via enforced selecto-recombinationShunsuke Saruwatari, Xavier Llorà, Noriko Imafuji Yasui, Hiroshi Tamura, Kumara Sastry, David E. Goldberg. gecco 2008: 1635-1642 [doi]

Improving small population performance under noise with viral infection + tropismYuji Sato, David E. Goldberg, Kumara Sastry. gecco 2008: 1143-1144 [doi]

2007

Automated alphabet reduction method with evolutionary algorithms for protein structure predictionJaume Bacardit, Michael Stout, Jonathan D. Hirst, Kumara Sastry, Xavier Llorà, Natalio Krasnogor. gecco 2007: 346-353 [doi]

Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexityMartin V. Butz, David E. Goldberg, Pier Luca Lanzi, Kumara Sastry. gpem, 8(1):5-37, 2007. [doi]

Evolutionary Algorithm for Large Scale ProblemsThyago S. P. C. Duque, Kumara Sastry, Alexandre C. B. Delbem, David E. Goldberg. isda 2007: 819-822 [doi]

A Simple Real-Coded Extended Compact Genetic AlgorithmLuca Fossati, Pier Luca Lanzi, Kumara Sastry, David E. Goldberg, Osvaldo Gómez. cec 2007: 342-348 [doi]

Toward routine billion-variable optimization using genetic algorithmsDavid E. Goldberg, Kumara Sastry, Xavier Llorà. complexity, 12(3):27-29, 2007. [doi]

Analyzing probabilistic models in hierarchical BOA on traps and spin glassesMark Hauschild, Martin Pelikan, Cláudio F. Lima, Kumara Sastry. gecco 2007: 523-530 [doi]

Analysis of Population Evolution in Classifier Systems Using Symbolic RepresentationsPier Luca Lanzi, Stefano Rocca, Kumara Sastry, Stefania Solari. iwlcs 2008: 22-45 [doi]

Performance Analyses of Factorization Based on Gaussian PDF In rECGAMinqiang Li, David E. Goldberg, Kumara Sastry, Tian-Li Yu. icnc 2007: 362-369 [doi]

Real-coded ECGA for solving decomposable real-valued optimization problemsMinqiang Li, Daniel E. Goldberg, Kumara Sastry, Tian-Li Yu. cec 2007: 2194-2201 [doi]

Influence of selection and replacement strategies on linkage learning in BOACláudio F. Lima, Martin Pelikan, David E. Goldberg, Fernando G. Lobo, Kumara Sastry, Mark Hauschild. cec 2007: 1083-1090 [doi]

Do not match, inherit: fitness surrogates for genetics-based machine learning techniquesXavier Llorà, Kumara Sastry, Tian-Li Yu, David E. Goldberg. gecco 2007: 1798-1805 [doi]

Linkage Learning, Rule Representation, and the X-Ary Extended Compact Classifier SystemXavier Llorà, Kumara Sastry, Cláudio F. Lima, Fernando G. Lobo, David E. Goldberg. iwlcs 2008: 189-205 [doi]

Substructrual surrogates for learning decomposable classification problems: implementation and first resultsAlbert Orriols-Puig, Ester Bernadó-Mansilla, Kumara Sastry, David E. Goldberg. gecco 2007: 2875-2882 [doi]

Modeling XCS in class imbalances: population size and parameter settingsAlbert Orriols-Puig, David E. Goldberg, Kumara Sastry, Ester Bernadó-Mansilla. gecco 2007: 1838-1845 [doi]

Substructural Surrogates for Learning Decomposable Classification ProblemsAlbert Orriols-Puig, Kumara Sastry, David E. Goldberg, Ester Bernadó-Mansilla. iwlcs 2008: 235-254 [doi]

Modeling selection pressure in XCS for proportionate and tournament selectionAlbert Orriols-Puig, Kumara Sastry, Pier Luca Lanzi, David E. Goldberg, Ester Bernadó-Mansilla. gecco 2007: 1846-1853 [doi]

Towards billion-bit optimization via a parallel estimation of distribution algorithmKumara Sastry, David E. Goldberg, Xavier Llorà. gecco 2007: 577-584 [doi]

Let s get ready to rumble redux: crossover versus mutation head to head on exponentially scaled problemsKumara Sastry, David E. Goldberg. gecco 2007: 1380-1387 [doi]

Empirical analysis of ideal recombination on random decomposable problemsKumara Sastry, Martin Pelikan, David E. Goldberg. gecco 2007: 1388-1395 [doi]

Population Sizing to Go: Online Adaptation Using Noise and Substructural MeasurementsTian-Li Yu, Kumara Sastry, David E. Goldberg. In Fernando G. Lobo, Cláudio F. Lima, Zbigniew Michalewicz, editors, Parameter Setting in Evolutionary Algorithms. Volume 54 of Studies in Computational Intelligence, pages 205-223, Springer, 2007. [doi]

Population sizing for entropy-based model building in discrete estimation of distribution algorithmsTian-Li Yu, Kumara Sastry, David E. Goldberg, Martin Pelikan. gecco 2007: 601-608 [doi]

2006

Efficient Interactive Weight Tuning For Tts Synthesis: Reducing User Fatigue By Improving User ConsistencyFrancesc Alías, Xavier Llorà, Lluís Formiga, Kumara Sastry, David E. Goldberg. icassp 2006: 865-868 [doi]

Linkage Learning via Probabilistic Modeling in the Extended Compact Genetic Algorithm (ECGA)Georges R. Harik, Fernando G. Lobo, Kumara Sastry. In Martin Pelikan, Kumara Sastry, Erick Cantú-Paz, editors, Scalable Optimization via Probabilistic Modeling. Volume 33 of Studies in Computational Intelligence, pages 39-61, Springer, 2006. [doi]

Substructural Neighborhoods for Local Search in the Bayesian Optimization AlgorithmCláudio F. Lima, Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg, Fernando G. Lobo. ppsn 2006: 232-241 [doi]

Analyzing active interactive genetic algorithms using visual analyticsXavier Llorà, Kumara Sastry, Francesc Alías, David E. Goldberg, Michael Welge. gecco 2006: 1417-1418 [doi]

Fast rule matching for learning classifier systems via vector instructionsXavier Llorà, Kumara Sastry. gecco 2006: 1513-1520 [doi]

IntroductionMartin Pelikan, Kumara Sastry, Erick Cantú-Paz. In Martin Pelikan, Kumara Sastry, Erick Cantú-Paz, editors, Scalable Optimization via Probabilistic Modeling. Volume 33 of Studies in Computational Intelligence, pages 1-10, Springer, 2006. [doi]

Multiobjective Estimation of Distribution AlgorithmsMartin Pelikan, Kumara Sastry, David E. Goldberg. In Martin Pelikan, Kumara Sastry, Erick Cantú-Paz, editors, Scalable Optimization via Probabilistic Modeling. Volume 33 of Studies in Computational Intelligence, pages 223-248, Springer, 2006. [doi]

Sporadic model building for efficiency enhancement of hierarchical BOAMartin Pelikan, Kumara Sastry, David E. Goldberg. gecco 2006: 405-412 [doi]

Hierarchical BOA, Cluster Exact Approximation, and Ising Spin GlassesMartin Pelikan, Alexander K. Hartmann, Kumara Sastry. ppsn 2006: 122-131 [doi]

Performance of Evolutionary Algorithms on Random Decomposable ProblemsMartin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg. ppsn 2006: 788-797 [doi]

Hierarchical BOA on random decomposable problemsMartin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg. gecco 2006: 431-432 [doi]

Multiobjective genetic algorithms for multiscaling excited state direct dynamics in photochemistryKumara Sastry, D. D. Johnson, Alexis L. Thompson, David E. Goldberg, Todd J. Martinez, Jeff Leiding, Jane Owens. gecco 2006: 1745-1752 [doi]

Evaluation relaxation using substructural information and linear estimationKumara Sastry, Cláudio F. Lima, David E. Goldberg. gecco 2006: 419-426 [doi]

Fluctuating Crosstalk as a Source of Deterministic Noise and Its Effects on GA ScalabilityKumara Sastry, Paul Winward, David E. Goldberg, Cláudio F. Lima. evoW 2006: 740-751 [doi]

Efficiency Enhancement of Estimation of Distribution AlgorithmsKumara Sastry, Martin Pelikan, David E. Goldberg. In Martin Pelikan, Kumara Sastry, Erick Cantú-Paz, editors, Scalable Optimization via Probabilistic Modeling. Volume 33 of Studies in Computational Intelligence, pages 161-185, Springer, 2006. [doi]

2005

Strong, Stable, and Reliable Fitness Pressure in XCS due to Tournament SelectionMartin V. Butz, Kumara Sastry, David E. Goldberg. gpem, 6(1):53-77, 2005. [doi]

Combining competent crossover and mutation operators: a probabilistic model building approachCláudio F. Lima, Kumara Sastry, David E. Goldberg, Fernando G. Lobo. gecco 2005: 735-742 [doi]

The compact classifier system: scalability analysis and first resultsXavier Llorà, Kumara Sastry, David E. Goldberg. cec 2005: 596-603 [doi]

Binary rule encoding schemes: a study using the compact classifier systemXavier Llorà, Kumara Sastry, David E. Goldberg. gecco 2005: 88-89 [doi]

The compact classifier system: motivation, analysis, and first resultsXavier Llorà, Kumara Sastry, David E. Goldberg. gecco 2005: 1993-1994 [doi]

Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitnessXavier Llorà, Kumara Sastry, David E. Goldberg, Abhimanyu Gupta, Lalitha Lakshmi. gecco 2005: 1363-1370 [doi]

Binary Rule Encoding Schemes: A Study Using the Compact Classifier SystemXavier Llorà, Kumara Sastry, David E. Goldberg. iwlcs 2007: 40-58 [doi]

Scalability of genetic programming and probabilistic incremental program evolutionRadovan Ondas, Martin Pelikan, Kumara Sastry. gecco 2005: 1785-1786 [doi]

Multiobjective hBOA, clustering, and scalabilityMartin Pelikan, Kumara Sastry, David E. Goldberg. gecco 2005: 663-670 [doi]

Limits of scalability of multiobjective estimation of distribution algorithmsKumara Sastry, David E. Goldberg, Martin Pelikan. cec 2005: 2217-2224 [doi]

Sub-structural niching in estimation of distribution algorithmsKumara Sastry, Hussein A. Abbass, David E. Goldberg, D. D. Johnson. gecco 2005: 671-678 [doi]

Linkage learning, overlapping building blocks, and systematic strategy for scalable recombinationTian-Li Yu, Kumara Sastry, David E. Goldberg. gecco 2005: 1217-1224 [doi]

Online population size adjusting using noise and substructural measurementsTian-Li Yu, Kumara Sastry, David E. Goldberg. cec 2005: 2491-2498 [doi]

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