Fitness Inheritance In Multi-objective Optimization. - Jian-Hung Chen; David E. Goldberg; Shinn-Ying Ho; Kumara Sastry (GECCO, 2002)

Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Variances. - Kumara Sastry; David E. Goldberg (GECCO, 2002)

Genetic Algorithms, Efficiency Enhancement, And Deciding Well With Differing Fitness Bias Values. - Kumara Sastry; David E. Goldberg (GECCO, 2002)

Scalability of the Bayesian optimization algorithm. - Martin Pelikan; Kumara Sastry; David E. Goldberg (Int. J. Approx. Reason., 2002)

Discovering Deep Building Blocks for Competent Genetic Algorithms Using Chance Discovery via KeyGraphs. - David E. Goldberg; Kumara Sastry; Yukio Ohsawa (Chance Discovery, 2003)

Tournament Selection: Stable Fitness Pressure in XCS. - Martin V. Butz; Kumara Sastry; David E. Goldberg (GECCO, 2003)

Scalability of Selectorecombinative Genetic Algorithms for Problems with Tight Linkage. - Kumara Sastry; David E. Goldberg (GECCO, 2003)

Optimal Sampling and Speed-Up for Genetic Algorithms on the Sampled OneMax Problem. - Tian-Li Yu 001; David E. Goldberg; Kumara Sastry (GECCO, 2003)

Sub-structural Niching in Non-stationary Environments. - Kumara Sastry; Hussein A. Abbass; David E. Goldberg (Australian Conference on Artificial Intelligence, 2004)

Efficiency enhancement of genetic algorithms via building-block-wise fitness estimation. - Kumara Sastry; Martin Pelikan; David E. Goldberg (IEEE Congress on Evolutionary Computation, 2004)

Inducing Sequentiality Using Grammatical Genetic Codes. - Kei Ohnishi; Kumara Sastry; Ying-Ping Chen; David E. Goldberg (GECCO (1), 2004)

Fitness Inheritance in the Bayesian Optimization Algorithm. - Martin Pelikan; Kumara Sastry (GECCO (2), 2004)

Designing Competent Mutation Operators Via Probabilistic Model Building of Neighborhoods. - Kumara Sastry; David E. Goldberg (GECCO (2), 2004)

Let's Get Ready to Rumble: Crossover Versus Mutation Head to Head. - Kumara Sastry; David E. Goldberg (GECCO (2), 2004)

Efficiency Enhancement of Probabilistic Model Building Genetic Algorithms - Kumara Sastry; David E. Goldberg; Martin Pelikan (CoRR, 2004)

The compact classifier system: scalability analysis and first results. - Xavier Llorà; Kumara Sastry; David E. Goldberg (Congress on Evolutionary Computation, 2005)

Limits of scalability of multiobjective estimation of distribution algorithms. - Kumara Sastry; David E. Goldberg; Martin Pelikan (Congress on Evolutionary Computation, 2005)

Online population size adjusting using noise and substructural measurements. - Tian-Li Yu 001; Kumara Sastry; David E. Goldberg (Congress on Evolutionary Computation, 2005)

Combining competent crossover and mutation operators: a probabilistic model building approach. - Cláudio F. Lima; Kumara Sastry; David E. Goldberg; Fernando G. Lobo (GECCO, 2005)

The compact classifier system: motivation, analysis, and first results. - Xavier Llorà; Kumara Sastry; David E. Goldberg (GECCO, 2005)

Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitness. - Xavier Llorà; Kumara Sastry; David E. Goldberg; Abhimanyu Gupta; Lalitha Lakshmi (GECCO, 2005)

Scalability of genetic programming and probabilistic incremental program evolution. - Radovan Ondas; Martin Pelikan; Kumara Sastry (GECCO, 2005)

Multiobjective hBOA, clustering, and scalability. - Martin Pelikan; Kumara Sastry; David E. Goldberg (GECCO, 2005)

Sub-structural niching in estimation of distribution algorithms. - Kumara Sastry; Hussein A. Abbass; David E. Goldberg; D. D. Johnson (GECCO, 2005)

Linkage learning, overlapping building blocks, and systematic strategy for scalable recombination. - Tian-Li Yu 001; Kumara Sastry; David E. Goldberg (GECCO, 2005)

Binary Rule Encoding Schemes: A Study Using the Compact Classifier System. - Xavier Llorà; Kumara Sastry; David E. Goldberg (IWLCS, 2005)

Population Sizing for Genetic Programming Based Upon Decision Making - Kumara Sastry; Una-May O'Reilly; David E. Goldberg (CoRR, 2005)

Oiling the Wheels of Change: The Role of Adaptive Automatic Problem Decomposition in Non-Stationary Environments - Hussein A. Abbass; Kumara Sastry; David E. Goldberg (CoRR, 2005)

Decomposable Problems, Niching, and Scalability of Multiobjective Estimation of Distribution Algorithms - Kumara Sastry; Martin Pelikan; David E. Goldberg (CoRR, 2005)

Strong, Stable, and Reliable Fitness Pressure in XCS due to Tournament Selection. - Martin V. Butz; Kumara Sastry; David E. Goldberg (Genet. Program. Evolvable Mach., 2005)

Fluctuating Crosstalk as a Source of Deterministic Noise and Its Effects on GA Scalability. - Kumara Sastry; Paul Winward; David E. Goldberg; Cláudio F. Lima (EvoWorkshops, 2006)

Fast rule matching for learning classifier systems via vector instructions. - Xavier Llorà; Kumara Sastry (GECCO, 2006)

Analyzing active interactive genetic algorithms using visual analytics. - Xavier Llorà; Kumara Sastry; Francesc Alías; David E. Goldberg; Michael Welge (GECCO, 2006)

Hierarchical BOA on random decomposable problems. - Martin Pelikan; Kumara Sastry; Martin V. Butz; David E. Goldberg (GECCO, 2006)

Multiobjective genetic algorithms for multiscaling excited state direct dynamics in photochemistry. - Kumara Sastry; D. D. Johnson; Alexis L. Thompson; David E. Goldberg; Todd J. Martínez; Jeff Leiding; Jane Owens (GECCO, 2006)

Evaluation relaxation using substructural information and linear estimation. - Kumara Sastry; Cláudio F. Lima; David E. Goldberg (GECCO, 2006)

Efficient Interactive Weight Tuning For Tts Synthesis: Reducing User Fatigue By Improving User Consistency. - Francesc Alías; Xavier Llorà; Lluís Formiga; Kumara Sastry; David E. Goldberg (ICASSP (1), 2006)

Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm. - Cláudio F. Lima; Martin Pelikan; Kumara Sastry; Martin V. Butz; David E. Goldberg; Fernando G. Lobo (PPSN, 2006)

Hierarchical BOA, Cluster Exact Approximation, and Ising Spin Glasses. - Martin Pelikan; Alexander K. Hartmann; Kumara Sastry (PPSN, 2006)

Performance of Evolutionary Algorithms on Random Decomposable Problems. - Martin Pelikan; Kumara Sastry; Martin V. Butz; David E. Goldberg (PPSN, 2006)

Linkage Learning via Probabilistic Modeling in the Extended Compact Genetic Algorithm (ECGA). - Georges R. Harik; Fernando G. Lobo; Kumara Sastry (Scalable Optimization via Probabilistic Modeling, 2006)

Introduction. - Martin Pelikan; Kumara Sastry; Erick Cantú-Paz (Scalable Optimization via Probabilistic Modeling, 2006)

Multiobjective Estimation of Distribution Algorithms. - Martin Pelikan; Kumara Sastry; David E. Goldberg (Scalable Optimization via Probabilistic Modeling, 2006)

Efficiency Enhancement of Estimation of Distribution Algorithms. - Kumara Sastry; Martin Pelikan; David E. Goldberg (Scalable Optimization via Probabilistic Modeling, 2006)

A Simple Real-Coded Extended Compact Genetic Algorithm. - Luca Fossati; Pier Luca Lanzi; Kumara Sastry; David E. Goldberg; Osvaldo Gómez (IEEE Congress on Evolutionary Computation, 2007)

Real-coded ECGA for solving decomposable real-valued optimization problems. - Minqiang Li; David E. Goldberg; Kumara Sastry; Tian-Li Yu 001 (IEEE Congress on Evolutionary Computation, 2007)

Influence of selection and replacement strategies on linkage learning in BOA. - Cláudio F. Lima; Martin Pelikan; David E. Goldberg; Fernando G. Lobo; Kumara Sastry; Mark Hauschild (IEEE Congress on Evolutionary Computation, 2007)

Automated alphabet reduction method with evolutionary algorithms for protein structure prediction. - Jaume Bacardit; Michael Stout; Jonathan D. Hirst; Kumara Sastry; Xavier Llorà; Natalio Krasnogor (GECCO, 2007)

Analyzing probabilistic models in hierarchical BOA on traps and spin glasses. - Mark Hauschild; Martin Pelikan; Cláudio F. Lima; Kumara Sastry (GECCO, 2007)

Do not match, inherit: fitness surrogates for genetics-based machine learning techniques. - Xavier Llorà; Kumara Sastry; Tian-Li Yu 001; David E. Goldberg (GECCO, 2007)

Substructrual surrogates for learning decomposable classification problems: implementation and first results. - Albert Orriols-Puig; Ester Bernadó-Mansilla; Kumara Sastry; David E. Goldberg (GECCO (Companion), 2007)

Modeling XCS in class imbalances: population size and parameter settings. - Albert Orriols-Puig; David E. Goldberg; Kumara Sastry; Ester Bernadó-Mansilla (GECCO, 2007)

Modeling selection pressure in XCS for proportionate and tournament selection. - Albert Orriols-Puig; Kumara Sastry; Pier Luca Lanzi; David E. Goldberg; Ester Bernadó-Mansilla (GECCO, 2007)

Let's get ready to rumble redux: crossover versus mutation head to head on exponentially scaled problems. - Kumara Sastry; David E. Goldberg (GECCO, 2007)

Towards billion-bit optimization via a parallel estimation of distribution algorithm. - Kumara Sastry; David E. Goldberg; Xavier Llorà (GECCO, 2007)

Empirical analysis of ideal recombination on random decomposable problems. - Kumara Sastry; Martin Pelikan; David E. Goldberg (GECCO, 2007)

Population sizing for entropy-based model building in discrete estimation of distribution algorithms. - Tian-Li Yu 001; Kumara Sastry; David E. Goldberg; Martin Pelikan (GECCO, 2007)

Performance Analyses of Factorization Based on Gaussian PDF In rECGA. - Minqiang Li; David E. Goldberg; Kumara Sastry; Tian-Li Yu 001 (ICNC (4), 2007)

Evolutionary Algorithm for Large Scale Problems. - Thyago S. P. C. Duque; Kumara Sastry; Alexandre C. B. Delbem; David E. Goldberg (ISDA, 2007)

Analysis of Population Evolution in Classifier Systems Using Symbolic Representations. - Pier Luca Lanzi; Stefano Rocca; Kumara Sastry; Stefania Solari (IWLCS, 2007)

Linkage Learning, Rule Representation, and the X-Ary Extended Compact Classifier System. - Xavier Llorà; Kumara Sastry; Cláudio F. Lima; Fernando G. Lobo; David E. Goldberg (IWLCS, 2007)

Substructural Surrogates for Learning Decomposable Classification Problems. - Albert Orriols-Puig; Kumara Sastry; David E. Goldberg; Ester Bernadó-Mansilla (IWLCS, 2007)

Toward routine billion-variable optimization using genetic algorithms. - David E. Goldberg; Kumara Sastry; Xavier Llorà (Complex., 2007)

Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity. - Martin V. Butz; David E. Goldberg; Pier Luca Lanzi; Kumara Sastry (Genet. Program. Evolvable Mach., 2007)

Population Sizing to Go: Online Adaptation Using Noise and Substructural Measurements. - Tian-Li Yu 001; Kumara Sastry; David E. Goldberg (Parameter Setting in Evolutionary Algorithms, 2007)

Improving the efficiency of the extended compact genetic algorithm. - Thyago S. P. C. Duque; David E. Goldberg; Kumara Sastry (GECCO, 2008)

iBOA: the incremental bayesian optimization algorithm. - Martin Pelikan; Kumara Sastry; David E. Goldberg (GECCO, 2008)

Speeding online synthesis via enforced selecto-recombination. - Shunsuke Saruwatari; Xavier Llorà; Noriko Imafuji Yasui; Hiroshi Tamura; Kumara Sastry; David E. Goldberg (GECCO, 2008)

Improving small population performance under noise with viral infection + tropism. - Yuji Sato; David E. Goldberg; Kumara Sastry (GECCO, 2008)

Enhancing the Efficiency of the ECGA. - Thyago S. P. C. Duque; David E. Goldberg; Kumara Sastry (PPSN, 2008)

Sporadic model building for efficiency enhancement of the hierarchical BOA. - Martin Pelikan; Kumara Sastry; David E. Goldberg (Genet. Program. Evolvable Mach., 2008)

Real-Coded Extended Compact Genetic Algorithm Based on Mixtures of Models. - Pier Luca Lanzi; Luigi Nichetti; Kumara Sastry; Davide Voltini; David E. Goldberg (Linkage in Evolutionary Computation, 2008)

Real-Coded ECGA for Solving Decomposable Real-Valued Optimization Problems. - Minqiang Li; David E. Goldberg; Kumara Sastry; Tian-Li Yu 001 (Linkage in Evolutionary Computation, 2008)

Linkage Learning Accuracy in the Bayesian Optimization Algorithm. - Cláudio F. Lima; Martin Pelikan; David E. Goldberg; Fernando G. Lobo; Kumara Sastry; Mark Hauschild (Linkage in Evolutionary Computation, 2008)

Initial-population bias in the univariate estimation of distribution algorithm. - Martin Pelikan; Kumara Sastry (GECCO, 2009)

Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap. - Martin Pelikan; Kumara Sastry; David E. Goldberg; Martin V. Butz; Mark Hauschild (GECCO, 2009)

Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination. - Tian-Li Yu 001; David E. Goldberg; Kumara Sastry; Cláudio F. Lima; Martin Pelikan (Evol. Comput., 2009)

Analyzing Probabilistic Models in Hierarchical BOA. - Mark Hauschild; Martin Pelikan; Kumara Sastry; Cláudio F. Lima (IEEE Trans. Evol. Comput., 2009)

Facetwise Analysis of XCS for Problems With Class Imbalances. - Albert Orriols-Puig; Ester Bernadó-Mansilla; David E. Goldberg; Kumara Sastry; Pier Luca Lanzi (IEEE Trans. Evol. Comput., 2009)

Using Previous Models to Bias Structural Learning in the Hierarchical BOA. - Mark Hauschild; Martin Pelikan; Kumara Sastry; David E. Goldberg (Evol. Comput., 2012)

Generic lithography modeling with dual-band optics-inspired neural networks. - Haoyu Yang; Zongyi Li; Kumara Sastry; Saumyadip Mukhopadhyay; Mark Kilgard; Anima Anandkumar; Brucek Khailany; Vivek Singh; Haoxing Ren (DAC, 2022)

Large Scale Mask Optimization Via Convolutional Fourier Neural Operator and Litho-Guided Self Training. - Haoyu Yang; Zongyi Li; Kumara Sastry; Saumyadip Mukhopadhyay; Anima Anandkumar; Brucek Khailany; Vivek Singh; Haoxing Ren (CoRR, 2022)

An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design. - Mingjie Liu; Haoyu Yang; Zongyi Li; Kumara Sastry; Saumyadip Mukhopadhyay; Selim Dogru; Anima Anandkumar; David Z. Pan; Brucek Khailany; Haoxing Ren (CoRR, 2022)