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 | 2012 | |
|---|---|---|
| j9 |      | Mark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg: Using Previous Models to Bias Structural Learning in the Hierarchical BOA. Evolutionary Computation 20(1): 135-160 (2012) |
| 2009 | ||
| j8 | | Tian-Li Yu, David E. Goldberg, Kumara Sastry, Cláudio F. Lima, Martin Pelikan: Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination. Evolutionary Computation 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. Evolutionary Computation 13(5): 1093-1119 (2009) |
| j6 | | Mark Hauschild, Martin Pelikan, Kumara Sastry, Cláudio F. Lima: Analyzing Probabilistic Models in Hierarchical BOA. IEEE Trans. Evolutionary Computation 13(6): 1199-1217 (2009) |
| c58 | | Martin Pelikan, Kumara Sastry: Initial-population bias in the univariate estimation of distribution algorithm. GECCO 2009: 429-436 |
| c57 | | 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. Genetic Programming and Evolvable Machines 9(1): 53-84 (2008) |
| c56 | | Mark Hauschild, Martin Pelikan, Kumara Sastry, David E. Goldberg: Using previous models to bias structural learning in the hierarchical BOA. GECCO 2008: 415-422 |
| c55 | | Martin Pelikan, Kumara Sastry, David E. Goldberg: iBOA: the incremental bayesian optimization algorithm. GECCO 2008: 455-462 |
| c54 | | Thyago S. P. C. Duque, David E. Goldberg, Kumara Sastry: Improving the efficiency of the extended compact genetic algorithm. GECCO 2008: 467-468 |
| c53 | | Yuji Sato, David E. Goldberg, Kumara Sastry: Improving small population performance under noise with viral infection + tropism. GECCO 2008: 1143-1144 |
| c52 | | 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 |
| c51 | | 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. Complexity 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. Genetic Programming and Evolvable Machines 8(1): 5-37 (2007) |
| c50 | | 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 |
| c49 | | 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 |
| c48 | | 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 |
| c47 | | 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 |
| c46 | | Mark Hauschild, Martin Pelikan, Cláudio F. Lima, Kumara Sastry: Analyzing probabilistic models in hierarchical BOA on traps and spin glasses. GECCO 2007: 523-530 |
| c45 | | Kumara Sastry, David E. Goldberg, Xavier Llorà: Towards billion-bit optimization via a parallel estimation of distribution algorithm. GECCO 2007: 577-584 |
| c44 | | 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 |
| c43 | | 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 |
| c42 | | Kumara Sastry, Martin Pelikan, David E. Goldberg: Empirical analysis of ideal recombination on random decomposable problems. GECCO 2007: 1388-1395 |
| c41 | | 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 |
| c40 | | 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 |
| c39 | | 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 |
| c38 | | 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 |
| c37 | | Thyago S. P. C. Duque, Kumara Sastry, Alexandre C. B. Delbem, David E. Goldberg: Evolutionary Algorithm for Large Scale Problems. ISDA 2007: 819-822 |
| c36 | | Pier Luca Lanzi, Stefano Rocca, Kumara Sastry, Stefania Solari: Analysis of Population Evolution in Classifier Systems Using Symbolic Representations. IWLCS 2007: 22-45 |
| c35 | | 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 |
| c34 | | 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 | ||
| e1 |  | Martin Pelikan, Kumara Sastry, Erick Cantú-Paz (Eds.): Scalable Optimization via Probabilistic Modeling. Studies in Computational Intelligence 33, Springer 2006, isbn 978-3-540-34953-2 |
| c33 | | 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 |
| c32 | | Martin Pelikan, Kumara Sastry, David E. Goldberg: Sporadic model building for efficiency enhancement of hierarchical BOA. GECCO 2006: 405-412 |
| c31 | | Kumara Sastry, Cláudio F. Lima, David E. Goldberg: Evaluation relaxation using substructural information and linear estimation. GECCO 2006: 419-426 |
| c30 | | Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg: Hierarchical BOA on random decomposable problems. GECCO 2006: 431-432 |
| c29 | | Xavier Llorà, Kumara Sastry, Francesc Alías, David E. Goldberg, Michael Welge: Analyzing active interactive genetic algorithms using visual analytics. GECCO 2006: 1417-1418 |
| c28 | | Xavier Llorà, Kumara Sastry: Fast rule matching for learning classifier systems via vector instructions. GECCO 2006: 1513-1520 |
| c27 | | Kumara Sastry, D. D. Johnson, Alexis L. Thompson, David E. Goldberg, Todd J. Martinez, Jeff Leiding, Jane Owens: Multiobjective genetic algorithms for multiscaling excited state direct dynamics in photochemistry. GECCO 2006: 1745-1752 |
| c26 | | Martin Pelikan, Alexander K. Hartmann, Kumara Sastry: Hierarchical BOA, Cluster Exact Approximation, and Ising Spin Glasses. PPSN 2006: 122-131 |
| c25 | | 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 |
| c24 | | 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 |
| 2005 | ||
| j2 | | Martin V. Butz, Kumara Sastry, David E. Goldberg: Strong, Stable, and Reliable Fitness Pressure in XCS due to Tournament Selection. Genetic Programming and Evolvable Machines 6(1): 53-77 (2005) |
| c23 | | Xavier Llorà, Kumara Sastry, David E. Goldberg: The compact classifier system: scalability analysis and first results. Congress on Evolutionary Computation 2005: 596-603 |
| c22 | | Kumara Sastry, David E. Goldberg, Martin Pelikan: Limits of scalability of multiobjective estimation of distribution algorithms. Congress on Evolutionary Computation 2005: 2217-2224 |
| c21 | | Tian-Li Yu, Kumara Sastry, David E. Goldberg: Online population size adjusting using noise and substructural measurements. Congress on Evolutionary Computation 2005: 2491-2498 |
| c20 | | Xavier Llorà, Kumara Sastry, David E. Goldberg: Binary rule encoding schemes: a study using the compact classifier system. GECCO Workshops 2005: 88-89 |
| c19 | | Martin Pelikan, Kumara Sastry, David E. Goldberg: Multiobjective hBOA, clustering, and scalability. GECCO 2005: 663-670 |
| c18 | | Kumara Sastry, Hussein A. Abbass, David E. Goldberg, D. D. Johnson: Sub-structural niching in estimation of distribution algorithms. GECCO 2005: 671-678 |
| c17 | | 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 |
| c16 | | Tian-Li Yu, Kumara Sastry, David E. Goldberg: Linkage learning, overlapping building blocks, and systematic strategy for scalable recombination. GECCO 2005: 1217-1224 |
| c15 | | 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 |
| c14 | | Radovan Ondas, Martin Pelikan, Kumara Sastry: Scalability of genetic programming and probabilistic incremental program evolution. GECCO 2005: 1785-1786 |
| c13 | | Xavier Llorà, Kumara Sastry, David E. Goldberg: The compact classifier system: motivation, analysis, and first results. GECCO 2005: 1993-1994 |
| c12 | | 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 | ||
| c11 | | Kumara Sastry, Hussein A. Abbass, David E. Goldberg: Sub-structural Niching in Non-stationary Environments. Australian Conference on Artificial Intelligence 2004: 873-885 |
| 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 | ||
| 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 |
| 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 Butz, Kumara Sastry, David E. Goldberg: Tournament Selection: Stable Fitness Pressure in XCS. GECCO 2003: 1857-1869 |
| 2002 | ||
| j1 | | Martin Pelikan, Kumara Sastry, David E. Goldberg: Scalability of the Bayesian optimization algorithm. Int. J. Approx. Reasoning 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 |
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