K. Sastry

发表

A practical schema theorem for genetic algorithm design and tuning

D. Goldberg, K. Sastry, 2001 .

Analysis of Mixing in Genetic Algorithms: A Survey

D. Goldberg, K. Sastry, 2002 .

On the supply of building blocks

Thomas D. LaToza, D. Goldberg, K. Sastry, 2001 .

Don't evaluate, inherit

D. Goldberg, M. Pelikán, K. Sastry, 2001 .

Probabilistic Model Building and Competent Genetic Programming

D. Goldberg, K. Sastry, 2003 .

Bayesian optimization algorithm, decision graphs, and Occam's razor

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2001 .

Linkage Learning via Probabilistic Modeling in the Extended Compact Genetic Algorithm (ECGA)

Kumara Sastry, Fernando G. Lobo, Georges R. Harik, 2006, Scalable Optimization via Probabilistic Modeling.

Scalability of the Bayesian optimization algorithm

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2002, Int. J. Approx. Reason..

iBOA: the incremental bayesian optimization algorithm

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2008, GECCO '08.

Substructural Surrogates for Learning Decomposable Classification Problems

David E. Goldberg, Kumara Sastry, Ester Bernadó-Mansilla, 2008, IWLCS.

Inducing Sequentiality Using Grammatical Genetic Codes

David E. Goldberg, Kumara Sastry, Kei Ohnishi, 2004, GECCO.

Strong, Stable, and Reliable Fitness Pressure in XCS due to Tournament Selection

Martin V. Butz, David E. Goldberg, Kumara Sastry, 2005, Genetic Programming and Evolvable Machines.

Limits of scalability of multiobjective estimation of distribution algorithms

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2005, 2005 IEEE Congress on Evolutionary Computation.

Population Sizing for Genetic Programming Based Upon Decision Making pdf

David E. Goldberg, Kumara Sastry, Una-May O'Reilly, 2005, ArXiv.

Modeling tournament selection with replacement using apparent added noise

D. Goldberg, K. Sastry, 2001 .

Multiobjective Estimation of Distribution Algorithms

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2006, Scalable Optimization via Probabilistic Modeling.

GECCO 2007: Genetic and Evolutionary Computation Conference

Thomas Stützle, Riccardo Poli, Mauro Birattari, 2007 .

Sporadic model building for efficiency enhancement of hierarchical BOA

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2006, GECCO.

Population Sizing for Entropy-based Model Building in Genetic Algorithms

D. Goldberg, M. Pelikán, K. Sastry, 2006 .

A Survey of Linkage Learning Techniques in Genetic and Evolutionary Algorithms

D. Goldberg, K. Sastry, Tian-Li Yu, 2007 .

How Well Does A Single-Point Crossover Mix Building Blocks with Tight Linkage?

D. Goldberg, K. Sastry, 2004 .

FLUCTUATING CROSSTALK , GA SCALABILITY , AND THE DISRUPTION OF OPTIMA BY

K. Sastry, Tian-Li Yu, Cláudio F. Lima, 2007 .

Efficient Atomic Cluster Optimization Using A Hybrid Extended Compact Genetic Algorithm With Seeded

Kumara Sastry, K. Sastry, 2001 .

Boa for Nurse Scheduling Li J and Aickelin U (2006): 'bayesian Optimisation Algorithm for Nurse Scheduling', Scalable Optimization via Probabilistic Modeling: from Algorithms to Applications (studies in Computational Intelligence), Edited

M. Pelikán, K. Sastry, U. Aickelin, 2007 .

Toward routine billion-variable optimization using genetic algorithms

Xavier Llorà, David E. Goldberg, Kumara Sastry, 2007, Complex..

Real-Coded Extended Compact Genetic Algorithm

David E. Goldberg, Kumara Sastry, Pier Luca Lanzi, 2007 .

Eeciency Enhancement of Probabilistic Model Building Genetic Algorithms Eeciency Enhancement of Probabilistic Model Building Genetic Algorithms

D. Goldberg, M. Pelikán, K. Sastry, 2022 .

Discovering Building Blocks for Human Based Genetic Algorithms

David E. Goldberg, Kumara Sastry, Xavier Llora, 2007 .

Real-coded ECGA for solving decomposable real-valued optimization problems

David E. Goldberg, Kumara Sastry, Minqiang Li, 2007, 2007 IEEE Congress on Evolutionary Computation.

Binary rule encoding schemes: a study using the compact classifier system

Xavier Llorà, David E. Goldberg, Kumara Sastry, 2005, GECCO '05.

Comparative Study of Genetic Algorithm Performed in a Single Generation for two Different Fitness Functions Technique f(x) = x^2 and f(x) = x^2+1

D. Goldberg, K. Sastry, Manju Sharma, 2016 .

BOA for Nurse Scheduling Optimisation Algorithm for Scheduling', Scalable Optimization via

M. Pelikán, K. Sastry, U. Aickelin, 2007 .

Genetic programming for multitimescale modeling

D. Goldberg, K. Sastry, Duane D. Johnson, 2004, cond-mat/0405415.

Large Scale Mask Optimization Via Convolutional Fourier Neural Operator and Litho-Guided Self Training

Anima Anandkumar, K. Sastry, Zong-Yi Li, 2022, ArXiv.

Genetic and Evolutionary Computation Conference 2008 : GECCO 2008

Julian F. Miller, Giuliano Antoniol, Maarten Keijzer, 2008, GECCO 2008.

An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design

Anima Anandkumar, K. Sastry, Zong-Yi Li, 2022, ArXiv.

Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2009, Evolutionary Computation.

Improving small population performance under noise with viral infection + tropism

David E. Goldberg, Kumara Sastry, Yuji Sato, 2008, GECCO '08.

Empirical analysis of ideal recombination on random decomposable problems

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2007, GECCO '07.

Population sizing for entropy-based model building in discrete estimation of distribution algorithms

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2007, GECCO '07.

Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity

Martin V. Butz, David E. Goldberg, Kumara Sastry, 2007, Genetic Programming and Evolvable Machines.

Evaluation relaxation using substructural information and linear estimation

David E. Goldberg, Kumara Sastry, Cláudio F. Lima, 2006, GECCO '06.

Efficiency Enhancement of Estimation of Distribution Algorithms

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2006, Scalable Optimization via Probabilistic Modeling.

Sub-structural niching in estimation of distribution algorithms

Hussein A. Abbass, David E. Goldberg, Kumara Sastry, 2005, GECCO '05.

Efficiency enhancement of genetic algorithms via building-block-wise fitness estimation

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

Designing Competent Mutation Operators Via Probabilistic Model Building of Neighborhoods

David E. Goldberg, Kumara Sastry, D. Goldberg, 2004, GECCO.

Let's Get Ready to Rumble: Crossover Versus Mutation Head to Head

David E. Goldberg, Kumara Sastry, D. Goldberg, 2004, GECCO.

Evaluation-Relaxation Schemes for Genetic and Evolutionary Algorithms

Franz Rothlauf, Martin Pelikan, Kumara Sastry, 2004 .

BUILDING-BLOCK SUPPLY IN GENETIC PROGRAMMING

David E. Goldberg, David J. Hill, Kumara Sastry, 2003 .

Discovering Deep Building Blocks for Competent Genetic Algorithms Using Chance Discovery via KeyGraphs

David E. Goldberg, Kumara Sastry, Yukio Ohsawa, 2003, Chance Discovery.

Combining competent crossover and mutation operators: a probabilistic model building approach

David E. Goldberg, Kumara Sastry, Cláudio F. Lima, 2005, GECCO '05.

Initial-population bias in the univariate estimation of distribution algorithm

Martin Pelikan, Kumara Sastry, M. Pelikán, 2009, GECCO.

Facetwise Analysis of XCS for Problems With Class Imbalances

David E. Goldberg, Kumara Sastry, Pier Luca Lanzi, 2009, IEEE Transactions on Evolutionary Computation.

Linkage Learning Accuracy in the Bayesian Optimization Algorithm

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2008, Linkage in Evolutionary Computation.

Hierarchical BOA, Cluster Exact Approximation, and Ising Spin Glasses

Martin Pelikan, Kumara Sastry, Alexander K. Hartmann, 2006, PPSN.

Fluctuating Crosstalk as a Source of Deterministic Noise and Its Effects on GA Scalability

David E. Goldberg, Kumara Sastry, Cláudio F. Lima, 2006, EvoWorkshops.

Genetic Programming, Probabilistic Incremental Program Evolution, and Scalability

Martin Pelikan, Kumara Sastry, Radovan Ondas, 2006 .

Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitness

Xavier Llorà, David E. Goldberg, Kumara Sastry, 2005, GECCO '05.

Linkage learning, overlapping building blocks, and systematic strategy for scalable recombination

David E. Goldberg, Kumara Sastry, Tian-Li Yu, 2005, GECCO '05.

Scalability of Selectorecombinative Genetic Algorithms for Problems with Tight Linkage

David E. Goldberg, Kumara Sastry, D. Goldberg, 2003, GECCO.

Optimal Sampling and Speed-Up for Genetic Algorithms on the Sampled OneMax Problem

David E. Goldberg, Kumara Sastry, Tian-Li Yu, 2003, GECCO.

Automated alphabet reduction method with evolutionary algorithms for protein structure prediction

Xavier Llorà, Kumara Sastry, Jaume Bacardit, 2007, GECCO '07.

Performance of Evolutionary Algorithms on Random Decomposable Problems

Martin V. Butz, David E. Goldberg, Martin Pelikan, 2006, PPSN.

Sub-structural Niching in Non-stationary Environments

Hussein A. Abbass, David E. Goldberg, Kumara Sastry, 2004, Australian Conference on Artificial Intelligence.

Products of Menger Probabilistic Normed Spaces

K. Sastry, I. L. Gayatri, V. Latha, 2011 .

Generic lithography modeling with dual-band optics-inspired neural networks

Anima Anandkumar, K. Sastry, M. Kilgard, 2022, DAC.

Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications (Studies in Computational Intelligence)

Martin Pelikan, Kumara Sastry, Erick Cantú-Paz, 2006 .

Fitness Inheritance In Multi-objective Optimization

David E. Goldberg, Kumara Sastry, Shinn-Ying Ho, 2002, GECCO.

Genetic Programming for Multiscale Modeling

David E. Goldberg, Kumara Sastry, Pascal Bellon, 2004 .

Let's get ready to rumble redux: crossover versus mutation head to head on exponentially scaled problems

David E. Goldberg, Kumara Sastry, D. Goldberg, 2007, GECCO '07.

Speeding online synthesis via enforced selecto-recombination

Xavier Llorà, David E. Goldberg, Kumara Sastry, 2008, GECCO '08.

Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm

Martin V. Butz, David E. Goldberg, Martin Pelikan, 2006, PPSN.

Analyzing active interactive genetic algorithms using visual analytics

Xavier Llorà, David E. Goldberg, Kumara Sastry, 2006, GECCO '06.

Efficient Interactive Weight Tuning For Tts Synthesis: Reducing User Fatigue By Improving User Consistency

Xavier Llorà, David E. Goldberg, Kumara Sastry, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Evaluation Consistency in iGAs: User Contradictions as Cycles in Partial-Ordering Graphs

David E. Goldberg, Kumara Sastry, Xavier Llorà, 2005 .

Online population size adjusting using noise and substructural measurements

David E. Goldberg, Kumara Sastry, Tian-Li Yu, 2005, 2005 IEEE Congress on Evolutionary Computation.

Analyzing Probabilistic Models in Hierarchical BOA

Martin Pelikan, Kumara Sastry, Cláudio F. Lima, 2009, IEEE Transactions on Evolutionary Computation.

Real-Coded Extended Compact Genetic Algorithm Based on Mixtures of Models

David E. Goldberg, Kumara Sastry, Pier Luca Lanzi, 2008, Linkage in Evolutionary Computation.

A Simple Real-Coded Extended Compact Genetic Algorithm

David E. Goldberg, Kumara Sastry, Pier Luca Lanzi, 2007, 2007 IEEE Congress on Evolutionary Computation.

Fitness Inheritance in the Bayesian Optimization Algorithm

Martin Pelikan, Kumara Sastry, M. Pelikán, 2004, GECCO.

Using Previous Models to Bias Structural Learning in the Hierarchical BOA

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2008, Evolutionary Computation.

Analyzing probabilistic models in hierarchical BOA on traps and spin glasses

Martin Pelikan, Kumara Sastry, Cláudio F. Lima, 2007, GECCO '07.

Sporadic model building for efficiency enhancement of hierarchical BOA

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2006, GECCO '06.

Multiobjective hBOA, clustering, and scalability

David E. Goldberg, Martin Pelikan, Kumara Sastry, 2005, GECCO '05.

Scalability of a Hybrid Extended Compact Genetic Algorithm for Ground State Optimization of Clusters

David E. Goldberg, Kumara Sastry, Duane D. Johnson, 2007 .

Linkage Learning, Rule Representation, and the X-Ary Extended Compact Classifier System

Xavier Llorà, David E. Goldberg, Kumara Sastry, 2008, IWLCS.

Sporadic model building for efficiency enhancement of the hierarchical BOA

D. Goldberg, M. Pelikán, K. Sastry, 2008, Genetic Programming and Evolvable Machines.

Evolutionary Algorithm for Large Scale Problems

David E. Goldberg, Kumara Sastry, Alexandre C. B. Delbem, 2007, Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007).

Optimization of Semiempirical Quantum Chemistry Methods via Multiobjective Genetic Algorithms: Accurate Photodynamics for Larger Molecules and Longer Time Scales

David E. Goldberg, Kumara Sastry, A. L. Thompson, 2007 .

Scalability of genetic programming and probabilistic incremental program evolution pdf

Martin Pelikan, Kumara Sastry, Radovan Ondas, 2005, GECCO '05.

Substructrual surrogates for learning decomposable classification problems: implementation and first results

David E. Goldberg, Kumara Sastry, Ester Bernadó-Mansilla, 2007, GECCO '07.

Efficient Cluster Optimization Using Extended Compact Genetic Algorithm With Seeded Population

Kumara Sastry, K. Sastry, 2001 .