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PERSONAL INFORMATION:

Name: Kumara Sastry

E-mail: kumara*AT*kumarasastry*DOT*com
Webpage: http://www.kumarasastry.com


RESEARCH INTERESTS:

Genetic algorithms, multiscale modeling in materials science and chemistry, principled efficiency enhancement, large-scale optimization, stochastic optimization, machine learning.

EDUCATION:

Ph.D. Systems and Entrepreneurial Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, 2007.

M. S. General Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, 2002.

M. Sc. (Hons) Chemistry & M. E. Chemical Engineering, Birla Institute of Technology and Science, Pilani, India, 1999.


RESEARCH EXPERIENCE:

Graduate Research assistant: Jan 2000-Oct 2007

Graduate Research assistant: Jan 2000-Oct 2007

Graduate Research assistant: Jan 1999-Dec 1999.

Project assistant: Jul 1996-Jul 1998.


TEACHING EXPERIENCE:

Teaching assistant:Jan 2006-May 2006

Teaching assistant: Aug 1998-Dec 1998


PROFESSIONAL EXPERIENCE:

Consultant: Apr 2007 - Oct 2007

Consultant: Sep 2004-Aug 2007

Consultant: Aug 2002-Jan 2004

Summer trainee: May 1995-Jul 1995


ADMINISTRATIVE EXPERIENCE:

Student Lab Director: Aug 2002 - Aug 2007

Student team leader: Jan 2001 - Aug 2001

AWARDS AND GRANTS:


PATENTS

Methods for efficient solution set optimization.

Adaptive genetic and evolutionary computing.

Methods and systems for interactive computing.

E2K: Evolution to Knowledge.

Quantum chemistry simulations using optimization methods

Methods for efficient solution to large-scale search and optimization problems.


CURRENT RESEARCH


PROFESSIONAL ACTIVITIES


PROFESSIONAL AFFILIATIONS


INVITED TALKS AND TUTORIALS

COLLABORATORS

Hussein A. Abbass (CS, University of Canberra, Australia) • B. V. Babu (Chem. Eng., BITS Pilani, India) • Jaume Bacardit (CSIT, University of Nottingham, UK) • L. Behera (ECE, IIT Kanpur, India) • Pascal Bellon (MSE, University of Illinois, USA) • Martin Butz (Psychology, University of Würzburg, Germany) • Erick Cantú-Paz (Yahoo! Inc., USA) • Chhanda Chakraborti (Philosophy, IIT Kharagpur, India) • Jian-Hung Chen (CS, Chung Hua University, Taiwan) • Ying-ping Chen (CS, National Chiao Tung University, Taiwan) • David E. Goldberg (IESE, University of Illinois, USA) • Georges Harik • Duane D. Johnson (MSE, University of Illinois, USA) • Graham Kendall (CSIT, University of Nottingham, UK) • Pier Luca Lanzi (CS, Politecnico di Milano, Italy) • Claudio F. Lima (CS, University of Algarve, Portugal) • Fernando Lobo (CS, University of Algarve, Portugal) • Xavier Llorà (NCSA, University of Illinois, USA) • Todd Martinez (Chem, University of Illinois, USA) • I. J. Nagrath (ECE, BITS Pilani, India) • Kei Ohnishi (CSE, Kyushu Institute of Technology, Japan) • Yukio Ohsawa (Systems Eng., University of Tokyo, Japan) • Una-May O’Reilly (CSAIL, MIT, USA) • Albert Orriols-Puig (CS, Ramon Llull University, Spain) • Luis de la Ossa (CS, University of Castilla la Mancha, Spain) • Martin Pelikan (Math & CS, University of Missouri St. Louis, USA) • Alexis L. Thompson (Chem, University of Illinois, USA) • Shigeyoshi Tsutsui (CS, Hannan University, Japan) • Noriko Imafuji Yasui (IESE, University of Illinois, USA) • Tian-Li Yu (ECE, National Taiwan University, Taiwan).

PUBLICATIONS

Books:

  1. Goldberg, D. E., Sastry, K. (in preparation). Genetic algorithms: The design of innovation. 2nd edition. Berlin: Springer.
  2. Pelikan, M., Sastry, K., Cantú-Paz, E. (Eds.). (2006). Scalable optimization via probabilistic modeling: From algorithms to applications. Berlin: Springer.
  3. Thierens, D., Beyer, H.-G., Birattari, M., Bongard, J., Branke, J., Clark, J. A., Cliff, D., Congdon, C. B., Deb, K., Doerr, B., Kovacks, T., Kumar, S., Miller, J. F., Moore, J., Neumann, F., Pelikan, M., Poli, R., Sastry, K., Stanley, K. O., Stützle, T., Watson, R. A., Wegener, I. (2007). Proceedings of the 2007 Genetic and Evolutionary Computation Conference. New York: ACM Press.

Refereed Journal Papers:

  1. Goldberg, D. E., Sastry, K., Llorà, X. (2007). Toward routine billion-variable optimization using genetic algorithms. Complexity, 12(3), 27-29.
  2. Sastry, K., Johnson, D.D., Goldberg, D. E. (2007). Scalability of a hybrid extended compact genetic algorithm for ground state optimization of clusters. Materials and Manufacturing Processes, 22(5), 570-576.
  3. Sastry, K., Johnson, D.D., Thompson, A. L., Goldberg, D. E., Martinez, T. J., Leiding, J., Owens, J. (2007). Optimization of semiempirical quantum chemistry methods via multiobjective genetic algorithms: Accurate photochemistry for larger molecules and longer time scales. Materials and Manufacturing Processes, 22(5), 553-561.
  4. Butz, M.V., Goldberg, D.E., Lanzi, P.L., Sastry, K. (2006) Problem solution sustenance in XCS: Markov chain analysis of niche support distributions and the impact on computational complexity. Genetic Programming and Evolvable Machines. (Springer Link) (Also IlliGAL report no. 2004033).
  5. Sastry, K. Johnson, D. D., Goldberg, D. E., Bellon, P. (2005). Genetic programming for multi-timescale modeling. Physical Review B, 72, 085438. (Also IlliGAL report no. 2003014). [Selected for the August 29, 2005 issue of Virtual Journal of Nanoscale Science & Technology as frontier research].
  6. Butz, M. V., Sastry, K., Goldberg, D. E. (2005). Strong, stable, and reliable fitness pressure in XCS due to tournament selection. Genetic Programming and Evolvable Machines, 6, 53—77. (Also IlliGAL report no. 2003027).
  7. Sastry, K., Johnson, D. D., Goldberg, D. E., Bellon, P. (2004). Genetic programming for multiscale modeling. International Journal for Multiscale Computational Engineering, 2(2), 239—256.
  8. Pelikan, M., Sastry, K., Goldberg, D. E. (2002). Scalability of the Bayesian optimization algorithm. International Journal of Approximate Reasoning. 31(3), 221–258. (Also IlliGAL report no. 2001029).
  9. Babu, B.V., Sastry, K. K. N. (1999). Estimation of heat transfer parameters using differential evolution & orthogonal collocation. Computers and Chemical Engineering, 23, 327—339.
  10. Sastry, K. K. N., Behera, L., Nagrath, I. J. (1999). Differential evolution based fuzzy logic controller for non-linear process control. Fundamenta Informaticae: Special Issue on Soft Computing, 37(1-2), 121—136.

Book Chapters:

  1. Yu, T.-L., Sastry, K., Goldberg, D. E. (2007). Population sizing to go: Online adaptation using noise and substructural measurement. In Lobo, F., Lima, C., Michalewicz, Z. (Eds.), Parameter Settings in Evolutionary Algorithms. Berlin: Springer.
  2. Pelikan, M., Sastry, K., Goldberg, D. E. (2006). Multiobjective estimation of distribution algorithms. In Pelikan, M., Sastry, K., Cantú-Paz, E. (Eds.), Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications. Berlin: Springer.
  3. Sastry, K., Pelikan, M., Goldberg, D. E. (2006). Efficiency enhancement of estimation of distribution algorithms. In Pelikan, M., Sastry, K., Cantú-Paz, E. (Eds.), Scalable optimization via Probabilistic Modeling: From Algorithms to Applications. Berlin: Springer.
  4. Harik, G. R., Lobo, F. G., Sastry, K. (2006). Linkage learning via probabilistic modeling in the ECGA. In Pelikan, M., Sastry, K., Cantú-Paz, E. (Eds.), Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications. Berlin: Springer.
  5. Llorà, X., Sastry, K., Goldberg, D. E., de la Ossa, L. (accepted). The ?-ary extended compact classifier system: Linkage learning in Pittsburgh LCS. In Kovacs, T., Llorà, X., and Takadama, K. (Eds.), Advances at the frontier of LCS. Berlin: Springer.
  6. Llorà, X., Sastry, K., Goldberg, D. E. (2007). Binary Rule Encoding Schemes: A Study Using The Compact Classifier System. In Kovacs, T., Llorà, X., and Takadama, K. (Eds.), Advances at the frontier of LCS, 41–60. Berlin: Springer.
  7. Ondas, R., Pelikan, M., Sastry, K. (2006). Genetic programming, probabilistic incremental program evolution, and scalability. In Tiwari, A., Knowles, J., Avineri, E., Dahal, K., Roy, R. (Eds.). Applications of Soft Computing: Recent Trends. Berlin:Springer.
  8. Sastry, K., Goldberg, D.E., Kendall, G. (2005). Genetic algorithms: A tutorial. In Burke, E. and Kendall, G. (Eds), Introductory Tutorials in Optimization, Search and Decision Support Methodologies. (Chapter 4.) 97-125. Berlin: Springer.
  9. Sastry, K., O’Reilly, U.-M., Goldberg, D. E., (2004). Population sizing for genetic programming based upon decision making. In O’Reilly, U.-M., et al (Eds.), Genetic Programming Theory and Practice II. 49—66. (Also IlliGAL report no. 2004028).
  10. Sastry, K., Goldberg, D. E. (2003). Probabilistic Model Building and Competent Genetic Programming. In Riolo, R., Worzel, B. (Eds.), Genetic Programming Theory and Practice. 205—220. Boston, MA: Kluwer Academic Publishers. (Also IlliGAL report no. 2003013).
  11. Sastry, K., O’Reilly, U.-M., Goldberg, D. E., Hill, D. (2003). Building-Block Supply in Genetic Programming. In Riolo, R., Worzel, B. (Eds.), Genetic Programming Theory and Practice. 155—172. Boston, MA: Kluwer Academic Publishers. (Also IlliGAL report no. 2003012).
  12. Goldberg, D. E., Sastry, K., Ohsawa, Y. (2003). Discovering deep building blocks for competent genetic algorithms using chance discovery via KeyGraphs. In Ohsawa, Y., McBurney, P. (Eds.), Chance Discovery. 276—302. Berlin: Springer-Verlag. (Also IlliGAL report no. 2002026).

Refereed Conference Papers:

  1. Fossati, L., Lanzi, P. L., Sastry, K., Goldberg, D. E., Gomez, O. (2007). A simple real-coded extended compact genetic algorithm. Proceedings of the Congress on Evolutionary Computation (CEC 2007).
  2. Lima, C. F., Pelikan, M., Goldberg, D. E., Lobo, F. G., Sastry, K., Hauschild, M. (2007). Influence of selection and replacement strategies on linkage learning in BOA. Proceedings of the Congress on Evolutionary Computation (CEC 2007). (Preprint: IlliGAL report no. 2007013).
  3. Sastry, K., Goldberg, D. E. (2007). Let’s get ready to rumble redux: Crossover versus mutation head to head on exponentially scaled problems. Proceedings of the 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), 1380–1387. Preprint: IlliGAL report no. 2007006).
  4. Sastry, K., Goldberg, D. E., Llorà, X. (2007). Towards billion bit optimization via parallel estimation of distribution algorithm. Proceedings of the 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), 577–584. (Preprint: IlliGAL report no. 2007007). [Best paper in
    Estimation of Distribution Algorithms track].
  5. Sastry, K., Pelikan, M., Goldberg, D. E. (2007). Empirical Analysis of ideal recombination on random decomposable problems. Proceedings of the 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), 1388–1395. Preprint: IlliGAL report no. 2006016). [Best paper award nominee in Genetic Algorithms track].
  6. Orriols-Puig, A., Sastry, K., Lanzi, P. L., Goldberg, D. E., Bernadó-Mansilla, E. (2007). Modeling selection pressure in XCS for proportionate and tournament selection. Proceedings of the 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), 1846–1853. (Preprint: IlliGAL report no. 2007004).
  7. Llorà, X., Sastry, K., Yu, T.-L., Goldberg, D. E. (2007). Do not match, Inherit: Fitness surrogates for genetics-based machine learning techniques. Genetic and Evolutionary Computation Conference (GECCO 2007), 1798–1805. (Preprint: IlliGAL report no. 2007001).
  8. Bacardit, J., Stout, M., Hirst, J. D., Sastry, K., Llorà, X., Krasnogor, N. (2007). Automated alphabet reduction method with evolutionary algorithms for protein structure prediction. Proceedings of the 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), 346–353. (Preprint: IlliGAL report no. 2007015). [Bronze “Humies” award at the Human Competitive Results Competition].
  9. Hauschild, M., Pelikan, M., Lima, C. F., Sastry, K. (2007). Analyzing probabilistic models in hierarchical BOA on traps and spin glasses. Proceedings of the 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), 523–530. (Preprint: Medal report no. 2007001).
  10. Yu, T.-L., Sastry, K., Goldberg, D. E., Pelikan, M. (2007). Population sizing for entropy-based model building in genetic algorithms. Proceedings of the 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), 601–608. (Preprint: IlliGAL report no. 2006020). [Best paper award nominee in Estimation of Distribution Algorithms track].
  11. Pelikan, M., Hartmann, A. K., Sastry, K. (2006). Hierarchical BOA, Cluster Exact Approximation, and Ising Spin Glasses. Parallel Problem Solving from Nature (PPSN IX). 121—131.
  12. Pelikan, M., Sastry, K., Butz, M. V., Goldberg, D. E. (2006). Performance of Evolutionary Algorithms on Random Decomposable Problems. Parallel Problem Solving from Nature (PPSN IX). 788—797. (Also IlliGAL report no. 2006002).
  13. Lima, C. F., Pelikan, M., Sastry, K., Butz, M. V., Goldberg, D. E., Lobo, F. G. (2006). Substructural neighborhoods for local search in the Bayesian optimization algorithm. Parallel Problem Solving from Nature (PPSN IX). 232—241.
  14. Pelikan, M., Sastry, K., Butz, M. V., Goldberg, D. E. (2006). Hierarchical BOA on random decomposable problems. Proceedings of the 2006 Genetic and Evolutionary Computation Conference. 431—432. (Also IlliGAL report no. 2006002).
  15. Sastry, K. , Johnson, D.D., Thompson, A. L., Martinez, T. J., Leiding, J., Owens, J. (2006). Multiobjective genetic algorithms for multiscaling excited state direct dynamics in photochemistry. Proceedings of the 2006 Genetic and Evolutionary Computation Conference. 1745—1752. (Also IlliGAL report no. 2006005). [Best paper award in Real World Applications track] [Silver Humie award at the Human Competitive Results Competition].
  16. Llorà, X., Sastry, K., Alías, F., Goldberg, D. E., Welge, M. (2006). Analyzing active interactive genetic algorithms using visual analytics. Proceedings of the Genetic and Evolutionary Computation Conference. 1417—1418. (Also IlliGAL report no. 2006004).
  17. Sastry, K., Lima, C. F., Goldberg, D. E. (2006). Evaluation relaxation using substructural information and linear estimation. Proceedings of the 2006 Genetic and Evolutionary Computation Conference. 419—426. (Also IlliGAL report no. 2006003).
  18. Llorà X., Sastry, K. (2006). Fast rule matching for learning classifier systems via vector instructions. Proceedings of the 2006 Genetic and Evolutionary Computation Conference. 1513—1520. (Also IlliGAL report no. 2006001).
  19. Pelikan, M., Sastry, K., Goldberg, D. E. (2006). Sporadic model building for efficiency enhancement of hBOA. Proceedings of the 2006 Genetic and Evolutionary Computation Conference. 405—412. (Also IlliGAL report no. 2005026).
  20. Alías, F. , Llorà, X., Formiga, L., Sastry, K., Goldberg, D. E. (2006). Efficient interactive weight tuning for TTS synthesis: Reducing user fatigue by improving user consistency. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2006). 1, 865—868. (Also IlliGAL report no. 2005022).
  21. Sastry, K., Winward, P., Goldberg, D. E., Lima, C. F. (2006). Fluctuating crosstalk as a source of deterministic noise and its effects on GA scalability. Applications of Evolutionary Computing EvoWorkshops2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoInteraction, EvoMUSART, EvoSTOCK. 740—751. (Also IlliGAL report no. 2005025).
  22. Llorà, X., Sastry, K., Goldberg, D. E. (2005). The compact classifier system: Motivation, analysis and first results. Proceedings of the 2005 Congress on Evolutionary Computation, 1, 596—603. (Also IlliGAL report no. 2005019).
  23. Yu, T.-L., Sastry, K., Goldberg, D. E. (2005). Online population size adjusting using noise and substructural measurements. Proceedings of the 2005 Congress on Evolutionary Computation Conference, 3, 2491—2498. (Also IlliGAL report no. 2005017).
  24. Sastry, K., Pelikan, M., Goldberg, D. E. (2005). Limits of scalability of multiobjective estimation of distribution algorithms. Proceedings of the 2005 Congress on Evolutionary Computation, 3, 2217—2224. (Also IlliGAL report no. 2005004).
  25. Yu, T.-L., Sastry, K., Goldberg, D. E. (2005). Linkage learning, overlapping building blocks, and a systematic strategy for scalable recombination. Proceedings of the 2005 Genetic and Evolutionary Computation Conference. 1217—1224. (Also IlliGAL report no. 2005016).
  26. Llorà, X., Sastry, K., Goldberg, D. E. (2005). The compact classifier system: Motivation, analysis and first results. Proceedings of the 2005 Genetic and Evolutionary Computation. 1893—1894. (Also IlliGAL report no. 2005019).
  27. Llorà, X., Sastry, K., Goldberg, D. E., Gupta, A., Lakshmi, L. (2005). Combating user fatigue in iGAs: Partial ordering, support vector machines, and synthetic fitness. Proceedings of the 2005 Genetic and Evolutionary Computation Conference. 1363—1370. (Also IlliGAL report no. 2005009).
  28. Pelikan, M., Sastry, K., Goldberg, D. E. (2005). Multiojbective hBOA, clustering, and scalability. Proceedings of the 2005 Genetic and Evolutionary Computation Conference. 663—670. (Also IlliGAL report no. 2005005).
  29. Sastry, K., Abbass, H. A., Goldberg, D. E., Johnson, D. D. (2005). Sub-structural niching in estimation of distribution algorithms. Proceedings of the 2005 Genetic and Evolutionary Computation Conference. 671—678. (Also IlliGAL report no. 2005003). [Nominated for best paper in Estimation of Distribution Algorithms track].
  30. Lima, C., Sastry, K., Goldberg, D. E., Lobo, F. (2005). Combining competent crossover and mutation operators: A probabilistic model building approach. Proceedings of the 2005 Genetic and Evolutionary Computation Conference. 735—742. (Also IlliGAL report no. 2005002).
  31. Ondas, R., Pelikan, M., Sastry, K. (2005). Scalability of genetic programming and probabilistic incremental program evolution. Proceedings of the 2005 Genetic and Evolutionary Computation Conference. 1785—1786. (Preprint arXiv:cs.NE/0502029).
  32. Sastry, K., Abbass, H. A., Goldberg, D. E. (2004). Sub-structural niching in non-stationary environments. Proceedings of the Australian Artificial Intelligence Conference. 873—885. (Also IlliGAL report no. 2004035).
  33. Sastry, K., Pelikan, M., Goldberg, D. E. (2004). Efficiency enhancement of genetic algorithms via building-block-wise fitness estimation. Proceedings of the IEEE Conference on Evolutionary Computation. 720—727. (Also IlliGAL report no. 2004010).
  34. Pelikan, M., Sastry, K. (2004). Fitness inheritance in the Bayesian optimization algorithm. Proceedings of the 2004 Genetic and Evolutionary Computation Conference, 2, 48—59. (Also IlliGAL report no. 2004009).
  35. Ohnishi, K., Sastry, K., Chen, Y.-p., Goldberg, D. E. (2004). Inducing sequentiality using grammatical genetic codes. Proceedings of the 2004 Genetic and Evolutionary Computation Conference, 2, 48—59. (Also IlliGAL report no. 2004007).
  36. Sastry, K., Goldberg, D. E. (2004). Designing competent mutation operators via probabilistic model building of neighborhoods. Proceedings of the 2004 Genetic and Evolutionary Computation Conference, 2, 114—125. (Also IlliGAL report no. 2004006).
  37. Sastry, K., Goldberg, D. E. (2004). Let’s get ready to rumble: Crossover versus mutation head to head. Proceedings of the 2004 Genetic and Evolutionary Computation Conference, 2, 126—137. (Also IlliGAL report no. 2004005).
  38. Yu, T.-L., Goldberg, D. E., Sastry, K. (2003). Optimal sampling and speed-up for genetic algorithms on the sampled OneMax problem. Proceedings of the 2003 Genetic and Evolutionary Computation Conference. 1554—1565. (Also IlliGAL report no. 2003008).
  39. Butz, M. V., Sastry, K., Goldberg, D. E. (2003). Tournament selection in XCS. Proceedings of the 2003 Genetic and Evolutionary Computation Conference. 1857—1869. (Also IlliGAL report no. 2002020). [Best paper award in Learning Classifier Systems track].
  40. Sastry, K., Goldberg, D. E. (2003). Scalability of selectorecombinative genetic algorithms for problems with tight linkage. Proceedings of the 2003 Genetic and Evolutionary Computation Conference. 1332—1334. (Also IlliGAL report no. 2002013). [Nominated for best paper award in Genetic Algorithms track].
  41. Chen, J.-H., Goldberg, D. E., Ho, S.-Y., Sastry, K. (2002). Fitness inheritance in multi-objective optimization. Proceedings of the 2002 Genetic and Evolutionary Computation Conference. 319—326. (Also IlliGAL report no. 2002017).
  42. Sastry, K., Goldberg, D. E. (2002). Genetic algorithms, efficiency enhancement, and deciding well with fitness functions with differing variances. Proceedings of the 2002 Genetic and Evolutionary Computation Conference. 528—535. (Also IlliGAL report no. 2002003).
  43. Sastry, K., Goldberg, D. E. (2002). Genetic algorithms, efficiency enhancement, and deciding well with fitness functions with differing bias values. Proceedings of the 2002 Genetic and Evolutionary Computation Conference. 536—543. (Also IlliGAL report no. 2002002).
  44. Sastry, K., Goldberg, D. E. (2001). Modeling tournament selection with replacement using apparent added noise. Intelligent Engineering Systems Through Artificial Neural Networks, 11, 129—134. (Also IlliGAL report no. 2001014).
  45. Tsutsui, S., Goldberg, D. E., & Sastry, K. (2001). Linkage learning in real-coded GAs with simplex crossover. Proceedings of the 5th International Conference on Artificial Evolution, 51—58. (Also IlliGAL report no. 2000033).
  46. Sastry, K., Goldberg, D. E., & Pelikan, M. (2001). Don’t evaluate, inherit. Proceedings of the 2001 Genetic and Evolutionary Computation Conference, 551—558. (Also IlliGAL report no. 2001013).
  47. Goldberg, D. E., Sastry, K., & Latoza, T. (2001). On the supply of building blocks, Proceedings of the 2001 Genetic and Evolutionary Computation Conference, 336—342. (Also IlliGAL report no. 2001015).
  48. Goldberg, D. E., Sastry, K. (2001). A practical schema theorem for genetic algorithm design and tuning, Proceedings of the 2001 Genetic and Evolutionary Computation Conference, 328—335. (Also IlliGAL report no. 2001017).
  49. Pelikan, M., Goldberg, D. E., & Sastry, K. (2001). Bayesian optimization algorithm, decision graphs, and Occam’s razor. Proceedings of the 2001 Genetic and Evolutionary Computation Conference, 519—526. (Also IlliGAL report no. 2000020).
  50. Chakraborti, C., Sastry, K. K. N. (1998). Testing the validity of logical arguments using genetic algorithms. Proceedings of the International Conference on Knowledge based Computer Systems (KBCS 98), 117—126.
  51. Chakraborti, C., Sastry, K. K. N. (1998). Genetic algorithms approach for proving logical arguments in natural language. Genetic Programming 1998: Proceedings of the Third Annual Conference, 463—470.

Refereed Conference Posters:

  1. Pelikan, M., Sastry, K., Butz, M. V., Goldberg, D. E. (2006). Hierarchical BOA on random decomposable problems. Proceedings of the 2006 Genetic and Evolutionary Computation Conference (GECCO 2006). 431–432. (Preprint: IlliGAL report no. 2006002).
  2. Llorà, X., Sastry, K., Alías, F., Goldberg, D. E., Welge, M. (2006). Analyzing active interactive genetic algorithms using visual analytics. Proceedings of the 2006 Genetic and Evolutionary Computation Conference (GECCO 2006). 1417–1418. Preprint: IlliGAL report no. 2006004).
  3. Ondas, R., Pelikan, M., Sastry, K. (2005). Scalability of genetic programming and probabilistic incremental program evolution. Proceedings of the 2005 Genetic and Evolutionary Computation Conference (GECCO 2005), 1785–1786. (Preprint: arXiv:cs.NE/0502029).
  4. Llorà, X., Sastry, K., Goldberg, D. E. (2005). The compact classifier system: Motivation, analysis and first results. Proceedings of the 2005 Genetic and Evolutionary Computation Conference (GECCO 2005), 1893–1894. (Preprint: IlliGAL report no. 2005019).
  5. Sastry, K., Goldberg, D. E. (2001). Modeling tournament selection with replacement using apparent added noise. Proceedings of the 2001 Genetic and Evolutionary Computation Conference (GECCO 2001), 781.

Workshops and Non-Refereed Conferences:

  1. Orriols-Puig, A., Sastry, K., Goldberg, D. E., Bernadó-Manzilla, E. (2007). Substructural surrogates for learning decomposable classification problems: Implementation and first results. International Workshop on Learning Classifier Systems. 2875–2882. Preprint: IlliGAL report no. 2007010.
  2. Sastry, K., Pelikan, M., Goldberg, D. E. (2004). Efficiency enhancement of probabilistic model building genetic algorithms. Optimization by Building and Using Probabilistic Models: Workshop at the Genetic and Evolutionary Computation Conference. (Also IlliGAL report no. 2004020).
  3. Sastry, K., Goldberg, D. E. (2002). How well does a single-point crossover mix building blocks with tight linkage? Proceedings of the International Symposium on Computer and Information Science. (Also IlliGAL report no. 2002013).
  4. Sastry, K. (2001). Efficient cluster optimization using a hybrid extended compact genetic algorithm with a seeded population, Workshop Proceedings of the Genetic and Evolutionary Computation Conference, 222—225. (Also IlliGAL report no. 2001018).
  5. Sastry, K., Goldberg, D. E. (2000). On extended compact genetic algorithm. Late Breaking Paper in Genetic and Evolutionary Computation Conference, 352—359. (Also IlliGAL report no. 2000026).
  6. Chakraborti, C., Sastry, K. K. N. (1997). Genetic algorithms: An efficient alternative for ‘proving’ logical arguments. Evonews, 17—18.
  7. Sastry, K. K. N, Behera, L., Nagrath, I. J. (1997). A self organizing fuzzy controller design using differential evolution. Proceedings of the Sixth Symposium on Intelligent Systems, 166—177.

Technical Reports:

  1. Sastry, K. (2007). Single and multiobjective genetic algorithm toolbox for matlab in C++. IlliGAL report no. 2007017. University of Illinois at Urbana-Champaign, Urbana, IL.
  2. Sastry, K. (2007). Single and multiobjective genetic algorithm toolbox in C++. IlliGAL report no. 2007016. University of Illinois at Urbana-Champaign, Urbana, IL.
  3. Sastry, K., Orriols-Puig, A. (2007). Extended compact genetic algorithm in matlab. IlliGAL report no. 2007009. University of Illinois at Urbana-Champaign, Urbana, IL.
  4. Pelikan, M., Sastry, K., Butz, M. V., Goldberg, D. E. (2006). Generator and interface for random decomposable problems in C. MEDAL report no. 2006003. University of Missouri-St. Louis, St. Louis, MO.
  5. Llorà, X., Sastry, K., Goldberg, D. E., de la Ossa, L. (2006). The ?-ary extended compact classifier system: Linkage learning in Pittsburgh LCS. IlliGAL report no. 2006015. University of Illinois at Urbana-Champaign, Urbana, IL.
  6. Sastry, K., de la Ossa, L., Lobo, F. G. (2006). ?-ary extended compact genetic algorithm for matlab in C++. IlliGAL report no. 2006014. University of Illinois at Urbana-Champaign, Urbana, IL.
  7. de la Ossa, L., Sastry, K., Lobo, F. G. (2006). ?-ary extended compact genetic algorithm in C++. IlliGAL report no. 2006013. University of Illinois at Urbana-Champaign, Urbana, IL.
  8. Lobo, F. G., Sastry, K., Harik, G. R. (2006). Extended compact genetic algorithm in C++: Version 1.1. IlliGAL report no. 2006012. University of Illinois at Urbana-Champaign, Urbana, IL.
  9. Llorà, X., Alías, F. , Formiga, L., Sastry, K., Goldberg, D. E. (2006). Evaluation consistency in iGAs: User contradictions as cycles in partial-ordering graphs. IlliGAL report no. 2005022. University of Illinois at Urbana-Champaign, Urbana, IL.
  10. Sastry, K., Goldberg, D. E. (2002). Analysis of mixing in genetic algorithms: A survey. IlliGAL report no. 2002012. University of Illinois at Urbana-Champaign, Urbana, IL.
  11. Sastry, K., (2002). Evaluation-Relaxation Schemes for Genetic and Evolutionary Algorithms. Master’s Thesis. Department of General Engineering. University of Illinois at Urbana-Champaign, Urbana, IL. (Also IlliGAL report no. 2002004).
  12. Pelikan, M., Sastry, K., Goldberg, D. E. (2001). Evolutionary algorithms + graphical models = scalable black-box optimization. IlliGAL report no. 2001029. University of Illinois at Urbana-Champaign, Urbana, IL.
  13. Sastry, K., Xiao, G. (2001). Silicon cluster optimization using extended compact genetic algorithm. IlliGAL report no. 2001016. University of Illinois at Urbana-Champaign, Urbana, IL.

Source Code:

Single and multiobjective genetic algorithm toolbox for matlab in C++

Single and multiobjective genetic algorithm toolbox in C++

Generator and interface for random decomposable problems in C.

?-ary extended compact genetic algorithm for matlab in C++.

?-ary extended compact genetic algorithm in C++.

Extended compact genetic algorithm in C++: Version 1.1.



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