Professor, CSE

Director, ECSL

Publications

  1. A. Banerjee, J.C. Quiroz, and S.J. Louis. A computational model of collaborative creativity: A meta-design approach. International Journal of Knowledge and Systems Science (IJKSS), 2(2):68–87, 2011. (PDF)
  2. A. Krontiris, S. Louis, and K.E. Bekris. General dynamic formations for non-holonomic systems along planar curvilinear coordinates. In Robotics and Automation (ICRA), 2011 IEEE International Conference on, pages 4903–4908. IEEE, 2011. (PDF, 715370 bytes)
  3. J. Naruchitparames, MH Giine, and S.J. Louis. Friend recommendations in social networks using genetic algorithms and network topology. In Evolutionary Computation (CEC), 2011 IEEE Congress on, pages 2207–2214. IEEE, 2011. (PDF, 597327 bytes)
  4. P. Avery and S. Louis. Coevolving influence maps for spatial team tactics in a rts game. In Proceedings of the 12th annual conference on Genetic and evolutionary computation, pages 783–790. ACM, 2010.
  5. P. Avery and S. Louis. Coevolving team tactics for a real-time strategy game. In Evolutionary Computation (CEC), 2010 IEEE Congress on, pages 1–8. IEEE, 2010.
  6. A. Krontiris, S. Louis, and K. Bekris. Simulating formations of non-holonomic systems with control limits along curvilinear coordinates. Motion in Games, pages 121–133, 2010. (PDF, 868303 bytes)
  7. P. Avery, S. Louis, and B. Avery. Evolving coordinated spatial tactics for autonomous entities using influence maps. In Computational Intelligence and Games, 2009. CIG 2009. IEEE Symposium on, pages 341–348. IEEE, 2009.
  8. J. Quiroz, A. Banerjee, S. Louis, and S. Dascalu. Document design with interactive evolution. New Directions in Intelligent Interactive Multimedia Systems and Services-2, pages 309–319, 2009. (PDF)
  9. Anil Shankar and Sushil J. Louis. Xcs for personalizing desktop interfaces. IEEE Transactions On Evolutionary Computation, 14(4):547–560, 2009. (PDF, 943879 bytes)
  10. Banerjee A., Quiroz J.C., and Louis S. A model of creative design using collaborative interactive genetic algorithms. In Proceedings of Design Computing and Cognition 2008, pages 397–416, Netherlands, 2008. Springer. (PDF)
  11. Juan C. Quiroz, Amit Banerjee, and Sushil J. Louis. Igap: Interactive genetic algorithms peer to peer. In Proceedings of the 10th Annual Conference of Genetic and evolutionary computation, pages 1719–1720, NY, NY, 2008. ACM. (PDF, 174234 bytes)
  12. Leigh R., Schonfeld J., and Louis S. Using coevolution to understand and validate game balance in continuous games. In Proceedings of the 10th annual conference on Genetic and evolutionary computation, pages 1563–1570, NY, NY, 2008. ACM. (PDF, 419171 bytes)
  13. Banerjee A. and Louis S. A genetic algorithm implementation of the fuzzy least trimmed squares clustering. In 2007 IEEE International Fuzzy Systems Conference, pages 1–6, New York, NY, 2007. IEEE. (PDF, 764753 bytes)
  14. Banerjee A. and Louis S. A recursive clustering methodology using a genetic algorithm. In 2007 IEEE Congress on Evolutionary Computation, pages 1482–1490, New York, NY, 2007. IEEE. (PDF, 267284 bytes)
  15. Shankar A., Louis S., Dascalu S., Houmanfar R., and Hayes L. User-context for adaptive user interfaces. In Proceedings of the Intelligent User Interfaces Conference, pages 321–324, New York, NY, 2007. ACM. (PDF, 116893 bytes)
  16. Tavakkoli A., Ambardekar A., Nicolescu M., and Louis S. A genetic approach to training support vector data descriptors for background modeling in video data. In Proceedings of the International Symposium on Visual Computing, pages 318–327, Netherlands, 2007. Springer. (PDF)
  17. Miles C., Quiroz J., Louis S., and Leigh R. Co-evolving influence map tree bases strategy game players. In Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Games, pages 85–95, NY, NY, 2007. IEEE. (PDF, 1055138 bytes)
  18. Quiroz J. C., Louis S., and Dascalu S. Interactive evolution of xul user interfaces. In Proceedings of the 2007 conference on Genetic and Evolutionary computation, pages 2151–2158, New York, NY, 2007. ACM. (PDF, 417282 bytes)
  19. Quiroz J.C., Shankar A. K., Dascalu S., and Louis S. Software environment for research on evolving user interface designs. In ICSEA 2007. International Conference on Software Engineering Advances, page 84, NY, NY, 2007. IEEE. (PDF, 542985 bytes)
  20. Quiroz J.C., Louis S., Shankar A., and Dascalu S. Interactive genetic algorithms for user interface design. In Proceedings of the 2007 IEEE International Congress on Evolutionary Computation, pages 1919–1927, New York, NY, 2007. IEEE. (PDF, 400712 bytes)
  21. Nicolescu M. N., Olenderski A., Leigh R., Louis S., Dascalu S., Miles C., Quiroz J. C., and Aleson R. A training simulation system with realistic autonomous ship control. Computational Intelligence, 23(4):497–519, 2007. (PDF, 320931 bytes)
  22. Leigh R., Louis S., and Miles C. Using a genetic algorithm to explore a*-like pathfinding algorithms. In Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Games, pages 72–79, NY, NY, 2007. IEEE. (PDF, 310814 bytes)
  23. Anil K Shankar, Juan C. Quiroz, S. Dascalu, Sushil Louis, and Monica Nicolescu. Sycophant: An api for research in context-aware user interfaces. In Software Engineering Advances, 2007. ICSEA 2007. International Conference on., page 83. ICSEA 2007, 2007. (PDF, 551574 bytes)
  24. Miles C. and Louis S. Towards the co-evolution of influence map tree based strategy game players. In Proceedings of the 2006 IEEE Symposium on Computational Intelligence and Games, pages 75–82, New York, NY, 2006. IEEE. (PDF, 534736 bytes)
  25. Chris Miles and Sushil J. Louis. Co-evolving real-time strategy game playing influence map trees with genetic algorithms. In Proceedings of the Congress on Evolutionary Computation, pages 0–999, Vancouver, Canada, 2006. IEEE. (PDF, 712549 bytes)
  26. Chris Miles and Sushil J Louis. Towards the co-evolution of influence map tree based strategy game players. In Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Games, New York, 2006. IEEE Press. (PDF, 534736 bytes)
  27. Adam Olenderski, Monica Nicolescu, and Sushil J. Louis. A behavior-based architecture for autonomous ship control. In Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Games, pages 148 – 155, New York, 2006. IEEE Press. (PDF, 603507 bytes)
  28. Louis S. Learning to play like a human: Case injected genetic algorithms for strategic computer gaming. In SPIE Defense and Security Symposium, Orlando, FL, 2006.
  29. Louis S. and Miles C. Learning to play like a human: Case injected genetic algorithms for strategic computer gaming. In Electronic:SPIE Volume 6228, page 9, Orlando, FL, 2006. SPIE.
  30. Ryan E. Leigh, Tony Morelli, Sushil J. Louis, Monica Nicolescu, and Chris Miles. Finding attack strategies for predator swarms using genetic algorithms. In Proceedings of the Congress on Evolutionary Computation. IEEE, 2005. (PDF, 163899 bytes)
  31. Sushil J. Louis and Chris Miles. Combining case-based memory with genetic algorithm search for competent game ai. In Proceedings of the 2005 Workshop on CBR in Games, pages 193–205. ICCBR, 2005. (PostScript, 13 pages, 6785078 bytes) (PDF, 499100 bytes)
  32. Sushil J. Louis and Chris Miles. Playing to learn: Case-injected genetic algorithms for learning to play compuer games. IEEE Transactions on Evolutionary Computation, 9(6):669 – 681, 2005. (PDF, 933578 bytes)
  33. Sushil J. Louis, Chris Miles, Nicholas Cole, and John McDonnell. Learning to play like a human: Case injected genetic algorithms for strategic computer gaming. In Proceedings of the second Workshop on Military and Security Applications of Evolutionary Computation, Seattle, WA, pages 6–12, 2005. (PostScript, 5 pages, 4695460 bytes) (PDF, 220179 bytes)
  34. Chris Miles and Sushil J Louis. Case-injection improves response time for a real-time strategy game. In Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Games, pages 149–156, New York, 2005. IEEE Press. (PostScript, 8 pages, 19150332 bytes) (PDF, 338860 bytes)
  35. Adam Olenderski, Monica Nicolescu, and Sushil J. Louis. Robot learning by demonstration using forward models of schema-based behaviors. In Proceedings, International Conference on Informatics in Control, Automation and Robotics, pages 14 – 17, Barcelona, Spain, September, 2005. (PDF, 143646 bytes)
  36. Anil K. Shankar and Sushil J. Louis. Better personalization using learning classifier systems. In Proceedings of the second Indian International Conference on Artificial Intelligence. IICAI, 2005. (PostScript, 16 pages, 483518 bytes) (PDF, 245161 bytes)
  37. Anil K. Shankar and Sushil J. Louis. Learning classifier systems for user context learning. In Proceedings of the Congress on Evolutionary Computation, pages 2069–2075. IEEE, 2005. (PDF, 111069 bytes)
  38. Sam Talaie, Sushil J. Louis, and Gary L. Raines. Predicting mining activity with parallel genetic algorithms. In Proceedings of the Genetic and Evolutionary Computing Conference, GECCO 2005, Washington, DC, pages 2149–2156, New York, 2005. ACM Press. (PostScript, 7 pages, 1319297 bytes) (PDF, 298330 bytes)
  39. Kai Xu, Sushil J. Louis, and Roberto Mancini. A scalable parallel genetic algorithm for x-ray spectroscopic analysis. In Proceedings of the Genetic and Evolutionary Computing Conference, GECCO 2005, Washington, DC, pages 811–816, New York, 2005. ACM Press. (PostScript, 6 pages, 1590041 bytes) (PDF, 953448 bytes)
  40. Nicholas Cole, Sushil J. Louis, and Chris Miles. Using a genetic algorithm to tune first-person shooter bots. In Proceedings of the International Congress on Evolutionary Computation, Portland, Oregon, pages 139–145. IEEE Press, 2004. (PostScript, 7 pages, 7956962 bytes) (PDF, 303112 bytes)
  41. Rich Drewes, James Maciokas, Sushil J. Louis, and Philip Goodman. An evolutionary autonomous agent with visual cortex and recurrent spiking columnar neural network. In Proceedings of the 2004 Genetic and Evolutionary Computing Conference (GECCO 2004), Seattle, WA, pages 257–258, 2004. (PDF, 79938 bytes)
  42. Judy Johnson and Sushil J. Louis. Case-initialized genetic algorithms for knowledge extraction and incorporation. In Knowledge Incorporation in Evolutionary Computation, pages 57–80, 2004. (PostScript, 23 pages, 783970 bytes) (PDF, 230801 bytes)
  43. Sushil J. Louis. Evolutionary learning from experience. Journal of Engineering Optimization, 26(2):237–247, 2004. (PostScript, 105318 bytes) (PDF, 105318 bytes)
  44. Sushil J. Louis. Genetic learning for combinational logic design. Journal of Soft Computing, 9(1):38–43, 2004. (PostScript, 7 pages, 432084 bytes) (PDF, 129211 bytes)
  45. Sushil J. Louis and John McDonnell. Learning with case injected genetic algorithms. IEEE Transactions on Evolutionary Computation, 8(4):316–328, 2004. (PDF)
  46. Sushil J. Louis and Anil K. Shankar. Context learning can improve user interaction. In Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration (IRI - 2004), Las Vegas, NV, pages 115–120, 2004. (PostScript, 6 pages, 1055524 bytes) (PDF, 166814 bytes)
  47. Sushil J. Louis, Chris Miles, Nicholas Cole, and John McDonnell. Playing to train: Case-injected genetic algorithms for strategic computer gaming. In Proceedings of the first Workshop on Military and Security Applications of Evolutionary Computation, Seattle, WA, pages 6–12, 2004. (PostScript, 6 pages, 4708670 bytes) (PDF, 179800 bytes)
  48. R.C. Mancini, S.J. Louis, I.E. Golovkin, L.A. Welser, Y. Ochi, H. Nishimura, J.A. Koch, R.W. Lee, J.A. Delettrez, F.J. Marshall, and L. Klein. Multi-objective spectroscopic data analysis of inertial confinement fusion implosion cores: Plasma gradient determination. In Applications of Multi-Objective Evolutionary Algorithms, pages 341–361, 2004. (PDF, 649171 bytes)
  49. Chris Miles, Sushil J. Louis, Nicholas Cole, and John McDonnell. Learning to play like a human: Case injected genetic algorithms for strategic computer gaming. In Proceedings of the International Congress on Evolutionary Computation, Portland, Oregon, pages 1441–1448. IEEE Press, 2004. (PostScript, 8 pages, 14722236 bytes) (PDF, 419253 bytes)
  50. Chris Miles, Sushil J. Louis, and Rich Drewes. Trap avoidance in strategic computer game playing with case injected genetic algorithms. In Proceedings of the 2004 Genetic and Evolutionary Computing Conference (GECCO 2004), Seattle, WA, pages 1365–1376, 2004. (PostScript, 12 pages, 3902177 bytes) (PDF, 277113 bytes)
  51. Rich Drewes, Sushil J. Louis, Chris Miles, John McDonnell, and Nick Gizzi. Use of case injection to bias genetic algorithm solution of similar problems. In Proceedings of the International Congress on Evolutionary Computation, Canberra, Australia. IEEE Press, 2003. (PostScript, 8 pages, 161523 bytes) (PDF, 84273 bytes)
  52. Sushil J. Louis. Genetic learning from experience. In Proceedings of the International Congress on Evolutionary Computation, Canberra, Australia. IEEE Press, 2003. (PostScript, 8 pages, 304029 bytes) (PDF, 101392 bytes)
  53. Sushil J. Louis. Learning for evolutionary design. In Proceedings of the 2003 NASA/DoD Conference on Evolvable Hardware, Chicago, USA, pages 17 – 23, 2003. (PostScript, 4 pages, 174709 bytes) (PDF, 96564 bytes)
  54. Sushil J. Louis and Gary L. Raines. Genetic algorithm calibration of probabilistic cellular automata for modeling mining permit activity. In Proceedings of the International Confernence on Tools for AI (ICTAI) 2003, Sacramento, CA. IEEE Press, 2003. (PostScript, 5 pages, 230618 bytes) (PDF, 79548 bytes)
  55. Sushil J. Louis, John McDonnell, Doan Hohmeyer, Lisa Heinsleman, and Andrew Walker. A case study in object oriented modeling, architecting, and designing an enterprise monitoring application. In Proceedings of the International Conference on Software Engineering Research and Practice, Volume II, 2003. (PDF, 289104 bytes)
  56. Jeff Wallace and Sushil J. Louis. Taming a flood with a t-cup - designing flood control structures with a genetic algorithm. In Proceedings of the 2003 Genetic and Evolutionary Computing Conference (GECCO 2003), Chicago, Illinois, 2003. (PostScript, 2 pages, 312953 bytes) (PDF, 55897 bytes)
  57. George Bebis, Sushil J. Louis, Yaakov Varol, and Angelo Yfantis. Genetic object recognition using combination of views. IEEE Transactions on Evolutionary Computation, 6(2):132–146, 2002. (PDF)
  58. I. Golovkin, R. Mancini, S. Louis, K. Fujita, H. Nishimura, H. Shirga, H. Azechi, R. Butzbach, I. Uschmann, J. Delettrez, J. Koch, R. W. Lee, and L. Klein. Spectroscopic determination of dynamic plasma gradients in implosion core. Physical Review Letters, 88(4), 2002. (PDF, 346381 bytes)
  59. I. Golovkin, R. Mancini, and S. J. Louis. Analysis of x-ray spectral data with genetic algorithms. Journal of Quantitative Spectroscopy and Radiative Transfer, 75:625–636, 2002. (PDF, 269787 bytes)
  60. Igor E. Golovkin, Sushil J. Louis, and Roberto C. Mancini. Parallel implementation of niched pareto genetic algorithm code for x-ray plasma spectroscopy. In Proceedings of the World Congress on Computational Intelligence, IEEE Congress on Evolutionary Computation, Honolulu, Hawaii, pages 1820–1824, 2002. (PDF, 95232 bytes)
  61. Kerry Gruber, Jason Baurick, and Sushil J. Louis. Evolution of complex behavoir controllers using genetic algorithms. In Proceedings of the International Conference on Artificial Intelligence (IC-AI), Las Vegas, Nevada, 2002. (PDF, 9007616 bytes)
  62. Sushil J. Louis. Genetic learning for combinational logic design. In Proceedings of the GECCO-2002 Workshop on Approximation and Learning in Evolutionary Computation, New York, NY, pages 21–26, 2002. (PostScript, 6 pages, 389540 bytes) (PDF, 131520 bytes)
  63. Sushil J. Louis. Learning from experience: Case injected genetic algorithm design of combinational logic circuits. In Proceedings of the Fifth International Conference on Adaptive Computing in Design and Manufacturing, Exeter, UK, pages 295–306. Springer-Verlag, 2002. (PostScript, 12 pages, 440873 bytes) (PDF, 180297 bytes)
  64. Sushil J. Louis, John McDonnell, and N. Gizzi. Dynamic strike force asset allocation using genetic algorithms and case-based reasoning. In Proceedings of the Sixth Conference on Systemics, Cybernetics, and Informatics. Orlando, pages 855–861, 2002. (PostScript, 6 pages, 433637 bytes) (PDF, 182877 bytes)
  65. John McDonnell, Nicholas Gizzi, and Sushil J. Louis. Strike force asset allocation using genetic search. In Proceedings of the International Conference on Artificial Intelligence (IC-AI), Las Vegas, Nevada, 2002. (PostScript, 5 pages, 325257 bytes) (PDF, 130083 bytes)
  66. Zehang Sun, george Bebis, Xiaojing Yuan, and Sushil J. Louis. Genetic feature subset selection for gender classification. In Proceedings of the IEEE Workshop on Applications of Computer Vision, Orland, Florida. IEEE Press, 2002. (PDF, 662350 bytes)
  67. Zehang Sun, Xiaojing Yuan, George Bebis, and Sushil J. Louis. Neural-network-based gender classification using genetic eigen-feature extraction. In Proceedings of the IEEE International Joint Conference on Neural-Networks. IEEE Press, 2002. (PDF, 267715 bytes)
  68. I.E. Golovkin, R. Mancini, S.Louis, Y. Ochi, K. Fujita, I. Niki, H. Nishimura, I. Uschmann, R. Butzbach, E. Förster, C. Back, R. Lee, L. Klein, and J. Delettrez. A genetic algorithm search & optimization technique for the spectroscopic determination of gradients in icf cores. In Proceedings of the 12th Topical Conference on Atomic Processes in Plasmas, Reno, NV, 2000. (PDF, 1461968 bytes)
  69. I.E. Golovkin, R. Mancini, S.Louis, Y. Ochi, K. Fujita, I. Niki, H. Nishimura, I. Uschmann, R. Butzbach, E. Förster, C. Back, R. Lee, L. Klein, and J. Delettrez. A genetic algorithm search & optimization technique for the spectroscopic determination of gradients in icf cores. In Proceedings of the 13th Topical Conference on High Temperature Plasma Diagnostics, Tucson, Arizona, 2000. (PDF, 306787 bytes)
  70. I.E. Golovkin, R. Mancini, S.Louis, Y. Ochi, K. Fujita, H. Nishimura, R. Butzbach, I. Uschmann, E. Förster, R. Lee, and L. Klein. Multi-criteria search and optimization: an application to x-ray plasma spectroscopy. In Proceedings of the 2000 IEEE Congress on Evolutionary Computation, San Diego, California, pages 1521–1526, 2000. (PDF, 125963 bytes)
  71. Sushil J. Louis and Gong Li. Case injected genetic algorithms for traveling salesman problems. Information Sciences, 122:210–225, 2000.
  72. M. Sami Fadali, Yongmian Zhang, and Sushil J. Louis. Robust stability analysis of discrete-time systems using genetic algorithms. IEEE Transactions on System, Man and Cybernetics, Part A, 29(5), 1999. (PostScript, 6 pages, 497407 bytes) (PDF, 206010 bytes)
  73. Igor E. Golovkin and Sushil J. Louis. Plasma x-ray spectra analysis using genetic algorithms. In Proceedings of the 1999 Genetic and Evolutionary Computing Conference (GECCO 1999), Orlando, Florida, 1999. (PostScript, 6 pages, 973496 bytes) (PDF, 240841 bytes)
  74. Sushil J. Louis and Rilun Tang. Interactive genetic algorithms for the traveling salesman problem. In Proceedings of the 1999 Genetic and Evolutionary Computing Conference (GECCO 1999), Orlando, Florida, 1999. (PostScript, 8 pages, 4312336 bytes) (PDF, 374268 bytes)
  75. Sushil J. Louis and Yongmian Zhang. A sequential similarity metric for case injected genetic algorithms applied to tsps. In Proceedings of the 1999 Genetic and Evolutionary Computing Conference (GECCO 1999), Orlando, Florida, 1999. (PostScript, 8 pages, 688174 bytes) (PDF, 175039 bytes)
  76. Sushil J. Louis, Q. Chen, and S. Pullamanapalil. Seismic velocity inversion with genetic algorithms. In Proceedings of the 1999 Congress on Evolutionary Computation, pages 855–861. IEEE Press, 1999. (Gzipped PostScript, 12 pages, 281511 bytes) (PDF, 261308 bytes)
  77. Sushil J. Louis, Xiangying Yin, and Zhen Ya Yuan. Multiple vehicle routing with time windows using genetic algorithms. In Proceedings of the 1999 Congress on Evolutionary Computation, Washington D.C., pages 1804–1808. IEEE Press, 1999. (Gzipped PostScript, 10 pages, 78578 bytes) (PDF, 118367 bytes)
  78. Sushil J. Louis and J. Johnson. Solving similar problems using genetic algorithms and case-based memory. In Proceedings of the Seventh International Conference on Genetic Algorithms, pages 283–290. Morgan Kauffman, San Mateo, CA, 1997. (PostScript, 8 pages, 360765 bytes) (PDF, 33816 bytes)
  79. Sushil J. Louis and Gan Li. Combining robot control strategies using genetic algorithms with memory. Lecture Notes in Computer Science, Evolutionary Programming VI, 1213:431 – 442, 1997. (PostScript, 11 pages, 399455 bytes) (PDF, 165707 bytes)
  80. Sushil J. Louis and Gong Li. Augmenting genetic algorithms with memory to solve traveling salesman problems. In Paul P. Wang, editor, Proceedings of the Third Joint Conference on Information Sciences, Duke University, pages 108–111, 1997. (PostScript, 4 pages, 304637 bytes) (PDF, 131475 bytes)
  81. Sushil J. Louis, Fang Zhao, and Xiaogang Zeng. Using parallel genetic algorithms for predicting flaw characteristics in 2-dimensional plates. In Book Chapter in Evolutionary Algorithms in Engineering Applications. Springer-Verlag, 1997.
  82. Tom Andrews and Sushil J. Louis. Predicting user commands. In Proceedings of the ISCA 11th International Conference on Computers and Their Applications., pages 1 – 5, Raleigh, NC, USA, 1996. International Society for Computers and Their Applications.
  83. Zhijie Xu and Sushil J. Louis. Genetic algorithms for open shop scheduling and re-scheduling. In Proceedings of the ISCA 11th International Conference on Computers and Their Applications., pages 99–102, Raleigh, NC, USA, 1996. International Society for Computers and Their Applications. (PostScript, 4 pages, 276468 bytes) (PDF, 114908 bytes)
  84. John S. Gero and Sushil J. Louis. Improving pareto optimal designs using genetic algorithms. Microcomputers in Civil Engineering, 10(4):241–249, 1995. (PostScript, 25 pages, 478483 bytes) (PDF, 243426 bytes)
  85. Sushil J. Louis. Working from blueprints: Evolutionary learning in design. Artificial Intelligence in Engineering, 11(3):335–341, 1995. (PostScript, 13 pages, 218657 bytes) (PDF, 161070 bytes)
  86. Sushil J. Louis and Fang Zhao. Domain knowledge for genetic algorithms. International Journal of Expert Systems Research and Applications, 8(3):195–212, 1995. (PostScript, 27 pages, 416661 bytes) (PDF, 281222 bytes)
  87. Sushil J. Louis, Li Li, and Serdar Ozalaybey. Genetic algorithms for seismic travel-time inversion. In Proceedings of the ISCA Conference on Engineering and Medical Applications, Raleigh, NC, USA, 1995. International Society for Computers and Their Applications.
  88. Fang Zhao, Sushil J. Louis, and Xiaogang Zeng. A genetic algorithm for inverse problems of flaw detection. In Proceedings of the Fourth Golden West International Conference on Intelligent Systems, 1995.
  89. John S. Gero, Sushil J. Louis, and Sourav Kundu. Evolutionary learning of novel grammars for design improvement. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 8(3):83–94, 1994. (PostScript, 23 pages, 310059 bytes) (PDF, 242372 bytes)
  90. Sushil J. Louis and Fang Zhao. Incorporating problem specific information in genetic algorithms. In Proceedings of the 1994 Florida AI Research Symposium, pages 118–123, 1994. (PostScript) (PDF)
  91. Sushil J. Louis and Gregory J. E. Rawlins. Pareto optimality, ga-easiness and deception. In Proceedings of the Fifth International Conference on Genetic Algorithms, pages 118–123. Morgan Kauffman, San Mateo, CA, 1993. (PostScript, 6 pages, 157889 bytes) (PDF, 113452 bytes)
  92. Sushil J. Louis and Gregory J. E. Rawlins. Syntactic analysis of convergence in genetic algorithms. In L. Darrel Whitley, editor, Foundations of Genetic Algorithms - 2, pages 141–152. Morgan Kauffman, San Mateo, CA, 1993. (PostScript, 11 pages, 154413 bytes) (PDF, 2217 bytes)
  93. Sushil J. Louis, Gary McGraw, and Richard Wyckoff. Case-based reasoning assisted explanation of genetic algorithm results. Journal of Experimental and Theoretical Artificial Intelligence, 5:21–37, 1993. (PostScript, 25 pages, 326652 bytes) (PDF, 247197 bytes)
  94. Sushil J. Louis and Gregory J. E. Rawlins. Designer genetic algorithms: Genetic algorithms in structure design. In Proceedings of the Fourth International Conference on Genetic Algorithms, pages 53–60. Morgan Kauffman, San Mateo, CA, 1991. (PostScript, 8 pages, 344873 bytes) (PDF, 160053 bytes)
  95. My thesis: Genetic Algorithms as a Computational Tool for Design . Also available in Postscript and in pdf .