Publications

2023

• P. A. Condado and F. G. Lobo. Security and privacy concerns in assisted living environments. Journal of Smart Cities and Society, Vol 2, No 2, pp 99-121. IOS Press, 2023.
  

2022

• F. G. Lobo and M. Bazargani. When Hillclimbers Beat Genetic Algorithms in Multimodal Optimization. Evolutionary Computation Journal, Vol 30, No 4, pp 535-559. MIT Press, 2022. (Preprint available as an arXiv report 1504.06859v2. This is an extended and revised work of our previous 2015 work with the same name.)
  

• P. A. Condado, F. G. Lobo, and T. Carita. Towards Richer Assisted Living Environments. SN Computer Science, Vol 3, No 1, 2022.
  

2020

• F. G. Lobo, M. Bazargani, and E. K. Burke. A cutoff time strategy based on the coupon collector's problem. European Journal of Operational Research, Vol 286, No 1, pp 101-114. Elsevier, 2020.
  
  (This companion website contains all the results in the paper, including those in the supplementary material. The website has several useful features such as searching and sorting, as well as allowing the results to be exported in a variety of formats such as JSON, XML, CSV, and SQL.)

2017

• M. Bazargani and F. G. Lobo. Parameter-less late acceptance hill-climbing. ACM Genetic and Evolutionary Computation Conference, GECCO-2017 pages 219-226. ACM, 2017.

2015

• P. A. Condado and F. G. Lobo. A System for Controlling Assisted Living Environments Using Mobile Devices. ACM Conference on Computers & Accessibility, ASSETS-2015, pages 33-38. ACM, 2015.
• J. C. Pereira and F. G. Lobo. Parameter-less Evolutionary Portfolio: First Experiments. ACM Genetic and Evolutionary Computation Conference, GECCO-2015, (Companion Material Proceedings), pages 773-774. ACM, 2015.
• F. G. Lobo and M. Bazargani. When Hillclimbers Beat Genetic Algorithms in Multimodal Optimization. ACM Genetic and Evolutionary Computation Conference, GECCO-2015, (Companion Material Proceedings), pages 1421-1422. ACM, 2015. (Longer version as arXiv Report 1504.06859.)
• J. C. Pereira and F. G. Lobo. Java Implementation of a Parameter-less Evolutionary Portfolio. arXiv Report 1506.08867, 2015.
• J. C. Pereira and F. G. Lobo. A Java Implementation of Parameter-less Evolutionary Algorithms. arXiv Report 1506.08694, 2015.
• J. C. Pereira and F. G. Lobo. A Java Implementation of the SGA, UMDA, ECGA, and HBOA. arXiv Report 1506.07980, 2015.
• M. Pelikan, M. Hauschild, and F. G. Lobo. Estimation of Distribution Algorithms. In J. Kacprzyk and W. Pedrycz, editors, Springer Handbook of Computational Intelligence. pp 899--928, Springer, 2015.

2014

• R. Godinho, P. A. Condado, M. Zacarias, and F. G. Lobo. Improving Accessibility of Mobile Devices with EasyWrite. Behaviour & Information Technology, Vol 34, No 2, pp 135-150. Taylor & Francis, 2015.

2012

• M. Pelikan, M. Hauschild, and F. G. Lobo. Introduction to Estimation of Distribution Algorithms. MEDAL Report No. 2012003, Missouri Estimation of Distribution Algorithms Laboratory, University of Missouri in St. Louis.
• J. C. Pereira and F. G. Lobo. An Optimized Divide-and-Conquer Algorithm for the Closest-Pair Problem in the Planar Case. Journal of Computer Science and Technology. Vol 27, No 4, pages 891-896. 2012. (Preprint as arXiv Report 1010.5909.)
• M. Bazargani, A. Anjos, F. G. Lobo, A. Mollahosseini, and H. Shahbazkia. Affine Image Registration Transformation Estimation Using a Real Coded Genetic Algorithm with SBX. Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO-2012), pages 1459-1460. ACM, 2012. (Longer version as arXiv Report 1204.2139.)

2011

• P. A. Condado, R. Godinho, M. Zacarias, and F. G. Lobo. EasyWrite: A Touch-Based Entry Method for Mobile Devices. 13th IFIP TC13 International Conference on Human-Computer Interaction (INTERACT 2011), Workshop on Mobile Accessibility.
• F. G. Lobo. Idealized Dynamic Population Sizing for Uniformly Scaled Problems. Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO-2011), pages 917-924. ACM, 2011.
• F. G. Lobo, M. Zacarias, P. A. Condado, T. Romão, R. Godinho, and M. Moreno. Evaluating Accessible Synchronous CMC Applications. (Available as arXiv Report 1005.1200.)
• C. F. Lima, F. G. Lobo, M. Pelikan, and D. E. Goldberg. Model Accuracy in the Bayesian Optimization Algorithm. Soft Computing, Vol 7, Issue 7, pages 1351-1371, Springer, 2011. Preprint available as IlliGAL Report No. 2010002. The definitive version is available from Springer here.

2010

• F. G. Lobo and C. F. Lima. Towards Automated Selection of Estimation of Distribution Algorithms. Workshop on Optimization by Building and Using Probabilistic Models (OBUPM-2010), ACM Genetic and Evolutionary Computation Conference, GECCO 2010. Companion Material, pages 1945-1952.

2009

• C. F. Lima, M. Pelikan, F. G. Lobo, and D. E. Goldberg. Loopy Substructural Local Search for the Bayesian Optimization Algorithm. Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics, Second International Workshop, SLS 2009, pages 61-75. Lecture Notes in Computer Science, Vol 5752, Springer, 2009. Available here. Extended version as IlliGAL Report No. 2010003.

2008

• C. F. Lima, M. Pelikan, D. E. Goldberg, F. G. Lobo, K. Sastry, and M. Hauschild. Linkage Learning Accuracy in the Bayesian Optimization Algorithm. In Y.-P. Chen and M.-H. Lim, editors, Linkage in Evolutionary Computation, pages 87-107. Springer, 2008. Available here.
• X. Llorà, K. Sastry, C. F. Lima, F. G. Lobo, and D. E. Goldberg. Linkage Learning, Rule Representation, and the χ-ary Extended Compact Classifier System. Learning Classifier Systems, LNAI 4998, pages 189-205. Springer, 2008. (Revised selected papers from the 10th and 11th International Workshop on Learning Classifier Systems). Preprint available as IlliGAL Report No. 2008005.
• S. Norte and F. G. Lobo. Sudoku Access: A Sudoku Game for People with Motor Disabilities. Proceedings of the 10th International ACM Conference on Computers and Accessibility (ASSETS-2008), pages 161-168. ACM, 2008.
• C. F. Lima, C. Fernandes, and F. G. Lobo. Investigating Restricted Tournament Replacement in ECGA for Non-Stationary Environments. Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO-2008), pages 439-446. ACM, 2008.
• C. F. Lima, F. G. Lobo, and M. Pelikan. From mating pool distributions to model overfitting. Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO-2008), pages 431-438. ACM Press, 2008. [Winner of the Best Paper Award, Estimation of Distribution Algorithms Track.]
• P. A. Condado and F. G. Lobo. EasyVoice: Breaking barriers for people with voice disabilities. Proceedings of the 11th International Conference on Computers Helping People with Special Needs (ICCHP-2008), Lecture Notes in Computer Science, Vol. 5105, pages 1228-1235. Springer, 2008.
  © Springer, 2008. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive version is available here.
• S. Norte and F. G. Lobo. A sudoku game for people with motor impairments (DEMO). Proceedings of the 13th Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE-2008), page 319. ACM, 2008.

2007

• D. Datta, K. Deb, C. M. Fonseca, F. G. Lobo, P. A. Condado, and J. Seixas. Multi-objective evolutionary algorithm for land-use management problem. International Journal of Computational Intelligence Research, 3(4):371--384, 2007.
• P. A. Condado and F. G. Lobo. EasyVoice: Integrating Voice Synthesis with Skype. (DEMO) Proceedings of the Ninth International ACM Conference on Computers and Accessibility (ASSETS-2007), pages 235-236. ACM, 2007.
• C. F. Lima, M. Pelikan, D. E. Goldberg, F. G. Lobo, K. Sastry, M. Hauschild. Influence of Selection and Replacement Strategies on Linkage Learning in BOA. Proceedings of the 2007 IEEE Congress on Evolutionary Computation, pages 1083-1090. IEEE. (Preprint available as IlliGAL Report No. 2007013.)
• S. Norte and F. G. Lobo. A Virtual Logo Keyboard for People with Motor Disabilities. Proceedings of the 12th Annual Conference on Innovation and Technology in Computer Science Education (ACM ITiCSE 2007), pages 111-115. ACM, 2007.
• S. Norte, P. A. Condado, and F. G. Lobo. Learning Logo at a High School: Constructionism versus Objectivism. Proceedings of the 11th Eurologo Conference.
• P. Guerreiro, V. Vieira, and F. G. Lobo. Disguised Programming as a Teaching Aid for Students with Special Needs. Proceedings of the 11th Eurologo Conference.
• F. G. Lobo, C. F. Lima, and Z. Michalewicz, editors. Parameter Setting in Evolutionary Algorithms. Studies in Computational Intelligence. Springer, 2007. (Book webpage)
• F. G. Lobo and C. F. Lima. Adaptive population sizing schemes in genetic algorithms. In F. G. Lobo et al., editors, Parameter Setting in Evolutionary Algorithms, Studies in Computational Intelligence, pages 185-204. Springer, 2007.
• F. G. Lobo Lost gems of EC: The Equilibrium Genetic Algorithm and the Role of Crossover. ACM SIGEVOlution, Vol 2, No 2, pages 14-15. 2007.

2006

• C. F. Lima, M. Pelikan, K. Sastry, M. V. Butz, D. E. Goldberg, and F. G. Lobo. Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm. In T. P. Runarsson et al., editors, Parallel Problem Solving from Nature (PPSN IX). LNCS 4193, pages 232-241. Springer 2006. (Preprint as IlliGAL Report 2006021.)
• F. G. Lobo and C. F. Lima. Revisiting Evolutionary Algorithms with on-the-fly Population Size Adjustment. Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO-2006), pages 1241-1248. ACM, 2006.
• F. G. Lobo and C. F. Lima. On the Utility of the Multimodal Problem Generator for Assessing the Performance of Evolutionary Algorithms. Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO-2006), pages 1233-1240. ACM, 2006.
• G. R. Harik, F. G. Lobo, and K. Sastry. Linkage learning via probabilistic modeling in the ECGA. In M. Pelikan et al., editors, Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications, Studies in Computational Intelligence, chapter 3, pages 39-61. Springer, 2006.

2005

• C. F. Lima, K. Sastry, D. E. Goldberg, and F. G. Lobo. Combining Competent Crossover and Mutation Operators: A Probabilistic Model Building Approach. Proceedings of the ACM Genetic and Evolutionary Computation Conference (GECCO-2005), pages 735-742. ACM, 2005.
• F. G. Lobo and C. F. Lima, editors. Workshop on Parameter Setting in Genetic and Evolutionary Algorithms (PSGEA 2005), part of GECCO 2005. ACM, 2005. (Workshop webpage)
• F. G. Lobo and C. F. Lima. A review of adaptive population sizing schemes in genetic algorithms. 2005 Workshop on Parameter Setting in Genetic and Evolutionary Algorithms (PSGEA 2005), part of GECCO 2005. ACM, 2005.
• F. G. Lobo, C. F. Lima, and H. Martires. Massive parallelization of the compact genetic algorithm. In R. Ribeiro et al., editors, Proceedings of the International Conference on Adaptive and Natural computiNG Algorithms (ICANNGA-2005), pages 530-533. Springer, 2005.
  © Springer, 2005. This is the author's version of the work. Not for redistribution. The definitive version is available here.
• S. Norte, N. Castilho, P. A. Condado, and F. G. Lobo. GoGoBoard and Logo programming for helping people with disabilities. In Proceedings of the 10th Eurologo Conference, pages 171-178, 2005.

2004

• P. A. Condado, P. F. Miquelina, S. Norte, N. Castilho, F. G. Lobo, and H. Shahbazkia. Information and communication technologies for people with disabilities. In CDROM Proceedings of ICL 2004: Interactive Computer Aided Learning International Conference, 2004.
• C. F. Lima and F. G. Lobo. Parameter-less optimization with the extended compact genetic algorithm and iterated local search. In K. Deb et al., editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2004), Part I, LNCS 3102, pages 1328-1339. Springer, 2004.
• F. G. Lobo, C. F. Lima, and H. Martires. An architecture for massive parallelization of the compact genetic algorithm. In K. Deb et al., editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2004), Part II, LNCS 3103, pages 412-413. Springer, 2004. Longer version as arXiv Report No. cs.NE/0602049.
• F. G. Lobo. A philosophical essay on life and its connections with genetic algorithms. In K. Deb et al., editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2004), Part II, LNCS 3103, pages 410-411. Springer, 2004. Longer version as arXiv Report No. cs.NE/0602050.
• F. G. Lobo and D. E. Goldberg. The parameter-less genetic algorithm in practice. Information Sciences, 167:217-232, 2004.
• P. F. Miquelina, P. A. Condado, C. L. Carvalho, H. Shahbazkia, and F. G. Lobo. Toque de voz: Sistema de s\EDntese de voz com um teclado virtual para o aux\EDlio de pessoas com necessidades educativas especiais. In Proceedings of RiBiE2004: 7th IberoAmerican Congress on Computers in Education, 2004.

2003

• P. Condado, F. Tomaz, H. Shahbazkia, and F. G. Lobo. Information and communication technologies for special needed persons: A case study with a student with cerebral paralysis. In Proceedings of m-ICTE 2003: Second International Conference on Multimedia and Information and Communication Technologies in Education, pages 1470-1474, 2003.
• P. Condado and F. G. Lobo. Communication and information technology in pre-primary school. In Proceedings of m-ICTE 2003: Second International Conference on Multimedia and Information and Communication Technologies in Education, pages 1455-1457, 2003.
• F. G. Lobo and D. E. Goldberg. An overview of the parameter-less genetic algorithm. In Proceedings of the 7th Joint Conference on Information Sciences, pages 20-23, 2003. (Invited paper).
• J. Seixas, F. G. Lobo, J. Corte-Real, and J. P. Nunes. GeneticLand: spatial planning supported by genetic algorithms. In Framing Land Use Dynamics: reviewed abstracts., pages 124-125, 2003.

2002

• M. Costa, J. S. Ferreira, G. Baptista, F. Lobo, and A. Câmara. Component based application for 2D advection-diffusion distributed simulation. In Hydroinformatics 2002, pages 1527-1532, 2002.
• M. Costa, J. S. Ferreira, F. Lobo, E. Nobre, and A. Câmara. Scalable DisPar: A component based application for 2D advection-diffusion distributed simulation. In AI, Simulation and Planning In High Autonomy Systems, pages 214-218, 2002.
• J. S. Ferreira, M. Costa, F. Lobo, and A. Câmara. Estuarine transport model calibration using genetic algorithms. In Hydroinformatics 2002, pages 427-432, 2002.
• M. Pelikan, D. E. Goldberg, and F. Lobo. A survey of optimization by building and using probabilistic models. Computational Optimization and Applications, 21(1):5-20, 2002.

2000

• P. M. S. Carvalho, L. A. F. M. Ferreira, F. G. Lobo, and L. M. F. Barruncho. Distribution network expansion planning under uncertainty: A hedging algorithm in an evolutionary approach. IEEE Transactions on Power Delivery, 15(1):412-416, 2000.
• F. G. Lobo. The parameter-less genetic algorithm: Rational and automated parameter selection for simplified genetic algorithm operation. PhD thesis, Universidade Nova de Lisboa, Portugal, 2000. (Also IlliGAL Report No. 2000030.)
• F. G. Lobo, D. E. Goldberg, and M. Pelikan. Time complexity of genetic algorithms on exponentially scaled problems. In Darrell Whitley et al., editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000), pages 151-158, Morgan Kaufmann, 2000.
• M. Pelikan and F. G. Lobo. Parameter-less genetic algorithm: A worst-case time and space complexity analysis. In D. Whitley et al., editors, Proceedings of the Genetic and Evolutionary Computation Conference 2000, page 370, Morgan Kaufmann, 2000.

1999

• G. R. Harik, F. G. Lobo, and D. E. Goldberg. The compact genetic algorithm. IEEE Transactions on Evolutionary Computation, 3(4):287-297, 1999.
• G. R. Harik and F. G. Lobo. A parameter-less genetic algorithm. In W. Banzhaf et al., editors, Proceedings of the Genetic and Evolutionary Computation Conference GECCO-99, pages 258-265, San Francisco, CA, 1999. Morgan Kaufmann.

1998

• P. M. S. Carvalho, L. A. F. M. Ferreira, F. G. Lobo, and L. M. F. Barruncho. Optimal distribution network expansion planning under uncertainty by evolutionary decision convergence. International Journal of Electrical Power & Energy Systems, 20(2):125-129, 1998.
• G. R. Harik, F. G. Lobo, and D. E. Goldberg. The compact genetic algorithm. In Proceedings of the International Conference on Evolutionary Computation 1998 (ICEC '98), pages 523-528, Piscataway, NJ, 1998. IEEE. (Longer version available as IlliGAL Report No. 97006.)
• F. G. Lobo. Solving problems of bounded difficulty using genetic algorithms. In J. R. Koza, editor, Late Breaking Papers at the Genetic Programming 1998 Conference, page 134, Madison, WI, 1998. Omni Press.
• F. Lobo, K. Deb, D. E. Goldberg, G. R. Harik, and L. Wang. Compressed introns in a linkage learning genetic algorithm. In J. R. Koza et al., editors, Genetic Programming 98, pages 551-558, San Francisco, 1998. Morgan Kaufmann Publishers.

1997

• P. M. S. Carvalho, L. A. F. M. Ferreira, F. G. Lobo, and L. M. F. Barruncho. Distribution network expansion planning under uncertainty: A hedging algorithm in an evolutionary approach. In Proceedings of the 1997 IEEE International Conference on Power Industry Computer Applications, pages 10-15, 1997.
• F. G. Lobo and D. E. Goldberg. Decision making in a hybrid genetic algorithm. In Proceedings of 1997 IEEE International Conference on Evolutionary Computation, pages 122-125, Piscataway, NJ, 1997. IEEE. (Preprint available as IlliGAL Report No. 96009.)

1996

• P. M. S. Carvalho, L. A. F. M. Ferreira, F. G. Lobo, and L. M. F. Barruncho. Optimal distribution network expansion planning under uncertainty by evolutionary decision convergence. In Proceedings of the 12th Power Systems Computation Conference, 1996.

Technical reports

2010

• C. F. Lima, M. Pelikan, F. G. Lobo, and D. E. Goldberg. Loopy Substructural Local Search for the Bayesian Optimization Algorithm. IlliGAL Report No. 2010003, Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL, 2010.
• C. F. Lima, F. G. Lobo, M. Pelikan, D. E. Goldberg. Model Accuracy in the Bayesian Optimization Algorithm. IlliGAL Report No. 2010002, Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL, 2010.

2008

• C. F. Lima, C. Fernandes, and F. G. Lobo. Investigating restricted tournament replacement in ECGA for non-stationary environments. IlliGAL Report No. 2008010, Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL, 2008.
• X. Llorà, K. Sastry, C. F. Lima, F. G. Lobo, and D. E. Goldberg. Linkage Learning, Rule Representation, and the χ-ary Extended Compact Classifier System. IlliGAL Report No. 2008005, Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL, 2008.

2007

• P. A. Condado and F. G. Lobo. EasyVoice: Integrating voice synthesis with Skype. UAlg-ILab Report No. 200705, UAlg Informatics Laboratory, University of Algarve, Faro, Portugal, 2007. (Also as arXiv Report No. 0706.3132.)
• C. F. Lima, M. Pelikan, D. E. Goldberg, F. G. Lobo, K. Sastry, M. Hauschild. Influence of Selection and Replacement Strategies on Linkage Learning in BOA. IlliGAL Report No. 2007013, Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL, 2007.
• S. Norte and F. G. Lobo. A Virtual Logo Keyboard for People with Motor Disabilities. UAlg-ILab Report No. 200701, UAlg Informatics Laboratory, University of Algarve, Faro, Portugal, 2007. (Also as arXiv Report No. cs.HC/0701199v2.)

2006

• P. A. Condado and F. G. Lobo. Breaking barriers for people with voice disabilities: Combining virtual keyboards with speech synthesizers, and VoIP applications. UAlg-ILab Report No. 200604, UAlg Informatics Laboratory, University of Algarve, Faro, Portugal, 2006. (Also as arXiv Report No. cs.CY/0606088)
• C. F. Lima, M. Pelikan, K. Sastry, M. V. Butz, D. E. Goldberg, and F. G. Lobo. Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm. IlliGAL Report No. 2006021, Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL, 2006.
• F. G. Lobo and C. F. Lima. Revisiting evolutionary algorithms with on-the-fly population size adjustment. UAlg-ILab Report No. 200602, UAlg Informatics Laboratory, University of Algarve, Faro, Portugal, 2006. (Also as arXiv Report No. cs.NE/0602055.)
• F. G. Lobo and C. F. Lima. On the utility of the multimodal problem generator for assessing the performance of evolutionary algorithms. UAlg-ILab Report No. 200601, UAlg Informatics Laboratory, University of Algarve, Faro, Portugal, 2006. (Also as arXiv report No. cs.NE/0602051.)

2005

• C. F. Lima, K. Sastry, D. E. Goldberg, and F. G. Lobo. Combining competent crossover and mutation operators: A probabilistic model building approach. IlliGAL Report No. 2005002, Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL, 2005.

2004

• F. G. Lobo. A philosophical essay on life and its connections with genetic algorithms. Feb 2004. arXiv report No. cs.NE/0402050.
• F. G. Lobo, C. F. Lima, and H. Martires. An architecture for massive parallelization of the compact genetic algorithm. Feb 2004. arXiv report No. cs.NE/0402049.
• C. F. Lima and F. G. Lobo. Parameter-less Optimization with the Extended Compact Genetic Algorithm and Iterated Local Search. Feb 2004. arXiv report No. cs.NE/0402047.

2000

• F. G. Lobo. The parameter-less genetic algorithm: Rational and automated parameter selection for simplified genetic algorithm operation. IlliGAL Report No. 2000030, Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL, 2000.
• F. G. Lobo, D. E. Goldberg, and M. Pelikan. Time complexity of genetic algorithms on exponentially scaled problems. IlliGAL Report No. 2000015, Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL, 2000.

1999

• G. Harik and F. Lobo. A parameter-less genetic algorithm. IlliGAL Report No. 99009, Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL, 1999.
• F. G. Lobo and G. R. Harik. Extended Compact Genetic Algorithm in C++. IlliGAL Report No. 99016, Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL, 1999.
• M. Pelikan and F. G. Lobo. Parameter-less genetic algorithm: A worst-case time and space complexity analysis. IlliGAL Report No. 99014, University of Illinois at Urbana-Champaign, Illinois Genetic Algorithms Laboratory, Urbana, IL, 1999.
• M. Pelikan, D. E. Goldberg, and F. Lobo. A survey of optimization by building and using probabilistic models. IlliGAL Report No. 99018, Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL, 1999.

1998

• F. G. Lobo, G. R. Harik, and D. E. Goldberg. Linkage learning genetic algorithm in C++. IlliGAL Report No. 98006, Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL, 1998.

1997

• G. R. Harik, F. G. Lobo, and D. E. Goldberg. The compact genetic algorithm. IlliGAL Report No. 97006, Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign, Urbana, 1997.
• F. G. Lobo, K. Deb, D. E. Goldberg, G. R. Harik, and L. Wang. Compressed introns in a linkage learning genetic algorithm. IlliGAL Report No. 97010, Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL, 1997.

1996

• F. G. Lobo and D. E. Goldberg. Decision making in a hybrid genetic algorithm. IlliGAL Report No. 96009, Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL, 1996.