K. Sastry

Publications
Influence

Probabilistic Model Building and Competent Genetic Programming

K. Sastry, D. Goldberg
Mathematics
2003

This paper describes probabilistic model building genetic programming (PM-BGP) developed based on the extended compact genetic algorithm (eCGA). Unlike traditional genetic programming, which use… Expand

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

Xavier Llorà, K. Sastry, D. Goldberg, A. Gupta, L. Lakshmi
Computer Science
GECCO '05
25 June 2005

This paper proposes a method to combat user fatigue by augmenting user evaluations with a synthetic fitness function. Expand

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

G. Harik, F. Lobo, K. Sastry
Mathematics, Computer Science
Scalable Optimization via Probabilistic Modeling
2006

This chapter explores the relationship between the linkage-learning problem and that of learning probability distributions over multi-variate spaces. Expand

Multiobjective hBOA, clustering, and scalability

M. Pelikan, K. Sastry, D. Goldberg
Computer Science
GECCO '05
6 February 2005

This paper describes a scalable algorithm for solving multiobjective decomposable problems by combining the hierarchical Bayesian optimization algorithm (hBOA) with the nondominated sorting genetic algorithm (NSGA-II) and clustering in the objective space. Expand

Dependency Structure Matrix, Genetic Algorithms, and Effective Recombination

Tian-Li Yu, D. Goldberg, K. Sastry, C. Lima, M. Pelikan
Mathematics, Medicine
Evolutionary Computation
1 December 2009

This paper develops an automated dependency structure matrix clustering technique and utilizes it to design a model-building genetic algorithm that learns and delivers the problem structure. Expand

Influence of selection and replacement strategies on linkage learning in BOA

C. Lima, M. Pelikan, D. Goldberg, F. Lobo, K. Sastry, Mark Hauschild
Computer Science
IEEE Congress on Evolutionary Computation
1 September 2007

The Bayesian optimization algorithm (BOA) uses Bayesian networks to learn linkages between the decision variables of an optimization problem. Expand

Evaluation-Relaxation Schemes for Genetic and Evolutionary Algorithms

K. Sastry, M. Pelikan, Prasanna Parthasarathy, R. Srivastava, A. Sinha, Franz Rothlauf
Computer Science
2004

This study investigates one such class of efficiency-enhancement technique called evaluation relaxation. Expand

Don't evaluate, inherit

K. Sastry, D. Goldberg, M. Pelikan
Mathematics
7 July 2001

This paper studies fitness inheritance as an efficiency enhancement technique for genetic and evolutionary algorithms. Expand

Tournament Selection: Stable Fitness Pressure in XCS

M. Butz, K. Sastry, D. Goldberg
Computer Science
GECCO
12 July 2003

This paper identifies problem properties in which performance of proportionate selection is impaired. Expand

On the supply of building blocks

D. Goldberg, K. Sastry, Thomas D. LaToza
Mathematics
7 July 2001

This study addresses the issue of building-block supply in the initial population. Expand

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