| 2008 |
|---|
| 83 | EE | Yuji Sato,
David E. Goldberg,
Kumara Sastry:
Improving small population performance under noise with viral infection + tropism.
GECCO 2008: 1143-1144 |
| 82 | EE | 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 |
| 81 | EE | Mark Hauschild,
Martin Pelikan,
Kumara Sastry,
David E. Goldberg:
Using previous models to bias structural learning in the hierarchical BOA.
GECCO 2008: 415-422 |
| 80 | EE | Martin Pelikan,
Kumara Sastry,
David E. Goldberg:
iBOA: the incremental bayesian optimization algorithm.
GECCO 2008: 455-462 |
| 79 | EE | Thyago S. P. C. Duque,
David E. Goldberg,
Kumara Sastry:
Improving the efficiency of the extended compact genetic algorithm.
GECCO 2008: 467-468 |
| 78 | EE | Thyago S. P. C. Duque,
David E. Goldberg,
Kumara Sastry:
Enhancing the Efficiency of the ECGA.
PPSN 2008: 165-174 |
| 77 | EE | 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 |
| 76 | EE | 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 |
| 75 | EE | 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 |
| 74 | EE | Martin Pelikan,
Kumara Sastry,
David E. Goldberg:
iBOA: The Incremental Bayesian Optimization Algorithm
CoRR abs/0801.3113: (2008) |
| 73 | EE | 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) |
| 2007 |
|---|
| 72 | EE | 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 |
| 71 | EE | Kumara Sastry,
Martin Pelikan,
David E. Goldberg:
Empirical analysis of ideal recombination on random decomposable problems.
GECCO 2007: 1388-1395 |
| 70 | EE | 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 |
| 69 | EE | 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 |
| 68 | EE | 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 |
| 67 | EE | 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 |
| 66 | EE | Mark Hauschild,
Martin Pelikan,
Cláudio F. Lima,
Kumara Sastry:
Analyzing probabilistic models in hierarchical BOA on traps and spin glasses.
GECCO 2007: 523-530 |
| 65 | EE | Kumara Sastry,
David E. Goldberg,
Xavier Llorà:
Towards billion-bit optimization via a parallel estimation of distribution algorithm.
GECCO 2007: 577-584 |
| 64 | EE | 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 |
| 63 | EE | 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 |
| 62 | EE | 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 |
| 61 | EE | Minqiang Li,
Daniel 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 |
| 60 | EE | 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 |
| 59 | EE | 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 |
| 58 | EE | Pier Luca Lanzi,
Stefano Rocca,
Kumara Sastry,
Stefania Solari:
Analysis of Population Evolution in Classifier Systems Using Symbolic Representations.
IWLCS 2007: 22-45 |
| 57 | EE | Albert Orriols-Puig,
Kumara Sastry,
David E. Goldberg,
Ester Bernadó-Mansilla:
Substructural Surrogates for Learning Decomposable Classification Problems.
IWLCS 2007: 235-254 |
| 56 | EE | 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 |
| 55 | EE | David E. Goldberg,
Kumara Sastry,
Xavier Llorà:
Toward routine billion-variable optimization using genetic algorithms.
Complexity 12(3): 27-29 (2007) |
| 54 | EE | 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) |
| 2006 |
|---|
| 53 | | Martin Pelikan,
Kumara Sastry,
Erick Cantú-Paz:
Scalable Optimization via Probabilistic Modeling
Springer 2006 |
| 52 | EE | 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 |
| 51 | EE | Xavier Llorà,
Kumara Sastry,
Francesc Alías,
David E. Goldberg,
Michael Welge:
Analyzing active interactive genetic algorithms using visual analytics.
GECCO 2006: 1417-1418 |
| 50 | EE | Xavier Llorà,
Kumara Sastry:
Fast rule matching for learning classifier systems via vector instructions.
GECCO 2006: 1513-1520 |
| 49 | EE | 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 |
| 48 | EE | Martin Pelikan,
Kumara Sastry,
David E. Goldberg:
Sporadic model building for efficiency enhancement of hierarchical BOA.
GECCO 2006: 405-412 |
| 47 | EE | Kumara Sastry,
Cláudio F. Lima,
David E. Goldberg:
Evaluation relaxation using substructural information and linear estimation.
GECCO 2006: 419-426 |
| 46 | EE | Martin Pelikan,
Kumara Sastry,
Martin V. Butz,
David E. Goldberg:
Hierarchical BOA on random decomposable problems.
GECCO 2006: 431-432 |
| 45 | EE | Martin Pelikan,
Alexander K. Hartmann,
Kumara Sastry:
Hierarchical BOA, Cluster Exact Approximation, and Ising Spin Glasses.
PPSN 2006: 122-131 |
| 44 | EE | 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 |
| 43 | EE | Martin Pelikan,
Kumara Sastry,
Martin V. Butz,
David E. Goldberg:
Performance of Evolutionary Algorithms on Random Decomposable Problems.
PPSN 2006: 788-797 |
| 42 | EE | Martin Pelikan,
Kumara Sastry,
Erick Cantú-Paz:
Introduction.
Scalable Optimization via Probabilistic Modeling 2006: 1-10 |
| 41 | EE | Kumara Sastry,
Martin Pelikan,
David E. Goldberg:
Efficiency Enhancement of Estimation of Distribution Algorithms.
Scalable Optimization via Probabilistic Modeling 2006: 161-185 |
| 40 | EE | Martin Pelikan,
Kumara Sastry,
David E. Goldberg:
Multiobjective Estimation of Distribution Algorithms.
Scalable Optimization via Probabilistic Modeling 2006: 223-248 |
| 39 | EE | 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 |
| 2005 |
|---|
| 38 | EE | Kumara Sastry,
David E. Goldberg,
Martin Pelikan:
Limits of scalability of multiobjective estimation of distribution algorithms.
Congress on Evolutionary Computation 2005: 2217-2224 |
| 37 | EE | Tian-Li Yu,
Kumara Sastry,
David E. Goldberg:
Online population size adjusting using noise and substructural measurements.
Congress on Evolutionary Computation 2005: 2491-2498 |
| 36 | EE | Xavier Llorà,
Kumara Sastry,
David E. Goldberg:
The compact classifier system: scalability analysis and first results.
Congress on Evolutionary Computation 2005: 596-603 |
| 35 | EE | Tian-Li Yu,
Kumara Sastry,
David E. Goldberg:
Linkage learning, overlapping building blocks, and systematic strategy for scalable recombination.
GECCO 2005: 1217-1224 |
| 34 | EE | 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 |
| 33 | EE | Radovan Ondas,
Martin Pelikan,
Kumara Sastry:
Scalability of genetic programming and probabilistic incremental program evolution.
GECCO 2005: 1785-1786 |
| 32 | EE | Xavier Llorà,
Kumara Sastry,
David E. Goldberg:
The compact classifier system: motivation, analysis, and first results.
GECCO 2005: 1993-1994 |
| 31 | EE | Martin Pelikan,
Kumara Sastry,
David E. Goldberg:
Multiobjective hBOA, clustering, and scalability.
GECCO 2005: 663-670 |
| 30 | EE | Kumara Sastry,
Hussein A. Abbass,
David E. Goldberg,
D. D. Johnson:
Sub-structural niching in estimation of distribution algorithms.
GECCO 2005: 671-678 |
| 29 | EE | 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 |
| 28 | EE | Xavier Llorà,
Kumara Sastry,
David E. Goldberg:
Binary rule encoding schemes: a study using the compact classifier system.
GECCO Workshops 2005: 88-89 |
| 27 | EE | Xavier Llorà,
Kumara Sastry,
David E. Goldberg:
Binary Rule Encoding Schemes: A Study Using the Compact Classifier System.
IWLCS 2005: 40-58 |
| 26 | EE | Kumara Sastry,
Una-May O'Reilly,
David E. Goldberg:
Population Sizing for Genetic Programming Based Upon Decision Making
CoRR abs/cs/0502020: (2005) |
| 25 | EE | 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) |
| 24 | EE | Kumara Sastry,
Hussein A. Abbass,
David E. Goldberg:
Sub-Structural Niching in Non-Stationary Environments
CoRR abs/cs/0502022: (2005) |
| 23 | EE | Kumara Sastry,
Hussein A. Abbass,
David E. Goldberg,
D. D. Johnson:
Sub-structural Niching in Estimation of Distribution Algorithms
CoRR abs/cs/0502023: (2005) |
| 22 | EE | Radovan Ondas,
Martin Pelikan,
Kumara Sastry:
Scalability of Genetic Programming and Probabilistic Incremental Program Evolution
CoRR abs/cs/0502029: (2005) |
| 21 | EE | Martin Pelikan,
Kumara Sastry,
David E. Goldberg:
Multiobjective hBOA, Clustering, and Scalability
CoRR abs/cs/0502034: (2005) |
| 20 | EE | Kumara Sastry,
Martin Pelikan,
David E. Goldberg:
Decomposable Problems, Niching, and Scalability of Multiobjective Estimation of Distribution Algorithms
CoRR abs/cs/0502057: (2005) |
| 19 | EE | 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) |
| 2004 |
|---|
| 18 | EE | Kumara Sastry,
Hussein A. Abbass,
David E. Goldberg:
Sub-structural Niching in Non-stationary Environments.
Australian Conference on Artificial Intelligence 2004: 873-885 |
| 17 | EE | Kei Ohnishi,
Kumara Sastry,
Ying-Ping Chen,
David E. Goldberg:
Inducing Sequentiality Using Grammatical Genetic Codes.
GECCO (1) 2004: 1426-1437 |
| 16 | EE | Kumara Sastry,
David E. Goldberg:
Designing Competent Mutation Operators Via Probabilistic Model Building of Neighborhoods.
GECCO (2) 2004: 114-125 |
| 15 | EE | Kumara Sastry,
David E. Goldberg:
Let's Get Ready to Rumble: Crossover Versus Mutation Head to Head.
GECCO (2) 2004: 126-137 |
| 14 | EE | Martin Pelikan,
Kumara Sastry:
Fitness Inheritance in the Bayesian Optimization Algorithm.
GECCO (2) 2004: 48-59 |
| 13 | EE | Martin Pelikan,
Kumara Sastry:
Fitness inheritance in the Bayesian optimization algorithm
CoRR cs.NE/0402032: (2004) |
| 12 | EE | Kumara Sastry,
David E. Goldberg,
Martin Pelikan:
Efficiency Enhancement of Probabilistic Model Building Genetic Algorithms
CoRR cs.NE/0405062: (2004) |
| 11 | EE | Kumara Sastry,
David E. Goldberg:
Let's Get Ready to Rumble: Crossover Versus Mutation Head to Head
CoRR cs.NE/0405063: (2004) |
| 10 | EE | Kumara Sastry,
David E. Goldberg:
Designing Competent Mutation Operators via Probabilistic Model Building of Neighborhoods
CoRR cs.NE/0405064: (2004) |
| 9 | EE | Kumara Sastry,
Martin Pelikan,
David E. Goldberg:
Efficiency Enhancement of Genetic Algorithms via Building-Block-Wise Fitness Estimation
CoRR cs.NE/0405065: (2004) |
| 2003 |
|---|
| 8 | EE | Kumara Sastry,
David E. Goldberg:
Scalability of Selectorecombinative Genetic Algorithms for Problems with Tight Linkage.
GECCO 2003: 1332-1344 |
| 7 | EE | 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 |
| 6 | EE | Martin Butz,
Kumara Sastry,
David E. Goldberg:
Tournament Selection: Stable Fitness Pressure in XCS.
GECCO 2003: 1857-1869 |
| 5 | | 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 |
|---|
| 4 | | Jian-Hung Chen,
David E. Goldberg,
Shinn-Ying Ho,
Kumara Sastry:
Fitness Inheritance In Multi-objective Optimization.
GECCO 2002: 319-326 |
| 3 | | Kumara Sastry,
David E. Goldberg:
Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Variances.
GECCO 2002: 528-535 |
| 2 | | Kumara Sastry,
David E. Goldberg:
Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Bias Values.
GECCO 2002: 536-543 |
| 1 | EE | Martin Pelikan,
Kumara Sastry,
David E. Goldberg:
Scalability of the Bayesian optimization algorithm.
Int. J. Approx. Reasoning 31(3): 221-258 (2002) |
