List of References on Constraint-Handling Techniques used with Evolutionary Algorithms

Maintained by

Carlos A. Coello Coello
ccoello@cs.cinvestav.mx
CINVESTAV-IPN
Departamento de Computación
Av. Instituto Politécnico Nacional No. 2508
Col. San Pedro Zacatenco
México, D.F. 07300

Last Update: February 17th, 2017.

(Keep in mind that this list is constantly being updated)


Author: A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

This list as a BibTeX, Gzipped Postscript, PDF, or DVI file.


    A


  1. Abdel-Rahman Hedar A. Ahmed. Studies on Metaheuristics for Continuous Global Optimization Problems, PhD thesis, Kyoto University, Kyoto, Japan, June 2004.
  2. Salwani Abdullah and Hamza Turabieh. On the use of multi neighbourhood structures within a Tabu-based memetic approach to university timetabling problems, Information Sciences, Vol. 191, pp. 146--168, May 15, 2012.
  3. A. Abedian, M. H. Ghiasi and B. Dehghan-Manshadi. Effect of a Linear-Exponential Penalty Function on the GA's Efficiency in Optimization of a Laminated Composite Panel, International Journal of Computational Intelligence, Vol. 2, No. 1, pp. 5--11, Winter 2006.
  4. Ahmed Abbas and Sajjad Haider. Comparison of AIS and PSO for Constrained Portfolio Optimization, in 2009 International Conference on Information and Financial Engineering (ICIFE 2009), pp. 50--54, IEEE Computer Society Press, Singapore, 17-20 April 2009.
  5. A.A. Abou El Ela, M.A. Abido and S.R. Spea. Differential evolution algorithm for emission constrained economic power dispatch problem, Electric Power Systems Research, Vol. 80, No. 10, pp. 1286--1292, October 2010.
  6. Adnan Acan and Ahmet Unveren. An Evolutionary Constraint Satisfaction Solution for Over the Cell Channel Routing, in Kalyanmoy Deb, Riccardo Poli, Wolfgang Banzhaf, Hans-Georg Beyer, Edmund Burke, Paul Darwen, Dipankar Dasgupta, Dario Floreano, James Foster, Mark Harman, Owen Holland, Pier Luca Lanzi, Lee Spector andrea Tettamanzi, Dirk Thierens and Andy Tyrrell (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2004), pp. 838--849, Heidelberg, Germany, June 2004. Seattle, WA, Springer Verlag. Lecture Notes in Computer Science Vol. 3103.
  7. Adnan Acan, Ahmet Ünveren and Yüce Tekol. Evolutionary Estimation of Assignment-ordering function for CSP-modeled Combinatorial Optimization, in Proceedings of the Congress on Evolutionary Computation 2003 (CEC'2003), Vol. 1, pp. 560--565, Piscataway, New Jersey, USA, December 2003. Canberra, Australia, IEEE Service Center.
  8. D.P. Acharya, G. Panda and Y.V.S. Lakshmi. Constrained Genetic Algorithm Based Independent Component Analysis, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 2443--2449, IEEE Press, Singapore, September 2007.
  9. Hojjat Adeli and Nai-Tsang Cheng. Augmented Lagrangian Genetic Algorithm for Structural Optimization, Journal of Aerospace Engineering, Vol. 7, No. 1, pp. 104--118, January 1994.
  10. M. H. Afshar and M. A. Mariño. A parameter-free self-adapting boundary genetic search for pipe network optimization, Computational Optimization and Applications, Vol. 37, No. 1, pp. 83--102, May 2007.
  11. M.H. Afshar. Penalty adapting ant algorithm: application to pipe network optimization, Engineering Optimization, Vol. 40, No. 10, pp. 969--987, October 2008.
  12. Hime Aguiar e Oliveira Junior. Evolutionary Global Optimization, Manifolds and Applications, Springer, Switzerland, 2016, ISBN 978-3-319-26466-0.
  13. Bahriye Akay and Dervis Karaboga. Artificial bee colony algorithm for large-scale problems and engineering design optimization, Journal of Intelligent Manufacturing, Vol. 23, No. 4, pp. 1001--1014, August 2012.
  14. Shamim Akhtar, Kang Tai and Tapabrata Ray. A Socio-Behavioural Simulation Model for Engineering Design Optimization, Engineering Optimization, Vol. 34, No. 4, pp. 341--354, 2002.
  15. Youhei Akimoto, Yuichi Nagata, Isao Ono and Shigenobu Kobayashi. Theoretical Analysis of Evolutionary Computation on Continuously Differentiable Functions, in Proceedings of the 12th annual conference on Genetic and Evolutionary Computation (GECCO'2010), pp. 1401-1408, ACM Press, Portland, Oregon, USA, July 7--11, 2010. ISBN 978-1-4503-0072-8.
  16. Youhei Akimoto and Shinichi Shirakawa. Natural Gradient Approach for Linearly Constrained Continuous Optimization, in Thomas Bartz-Beielstein, Jürgen Branke, Bogdan Filipic and Jim Smith (editors), Parallel Problem Solving from Nature – PPSN XIII, 13th International Conference, pp. 252--261, Springer. Lecture Notes in Computer Science Vol. 8672, Ljubljana, Slovenia, September 13-17, 2014.
  17. Jarmo T. Alander and Jouni Lampinen. Cam Shape Optimization by Genetic Algorithm, in D. Quagliarella, J. Périaux, C. Poloni and G. Winter (editors), Genetic Algorithms and Evolution Strategies in Engineering and Computer Science, pp. 153-174. John Wiley & Sons, England, 1998.
  18. M. M. Ali and Z. Kajee-Bagdadi. A local exploration-based differential evolution algorithm for constrained global optimization, Applied Mathematics and Computation, Vol. 208, No. 1, pp. 31-48, February 1, 2009.
  19. Mostafa Ali, Robert Reynolds, Rose Ali and Ayad Salhieh. Knowledge-Based Constrained Function Optimization Using Cultural Algorithms with an Enhanced Social Influence Metaphor, in Kurosh Madani, Antonio Dourado Correia, Agostinho Rosa and Joaquin Filipe (editors), Computational Intelligence, Studies in Computational Intelligence, pp. 103--119, Berlin, ISBN 978-3-642-20206-3, 2011.
  20. Mostafa Z. Ali, Ayad Salhieh and Randa T. Abu Snanieh. Boosting Cultural Algorithms with an Incongruous Layered Social Fabric Influence Function, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 1225--1232, IEEE Service Center, New Orleans, Lousiana, USA, 5-8 June, 2011.
  21. Musrrat Alim, Millie Pant, Ajith Abraham and Chang Wook Ahn. Swarm Directions Embedded Differential Evolution for Faster Convergence of Global Optimization Problems, International Journal on Artificial Intelligence Tools, Vol. 21, No. 3, Article Number: 1240013, June 2012.
  22. Layak Ali, Samrat L. Sabat and Siba K. Udgata. Particle swarm optimisation with stochastic ranking for constrained numerical and engineering benchmark problems, International Journal of Bio-Inspired Computation, Vol. 4, No. 3, pp. 155--166, 2012.
  23. M.M. Ali and W.X. Zhu. A penalty function-based differential evolution algorithm for constrained global optimization, Computational Optimization and Applications, Vol. 54, No. 3, pp. 707--739, April 2013.
  24. Mostafa Z. Ali and Noor H. Awad. A novel class of niche hybrid Cultural Algorithms for continuous engineering optimization, Information Sciences, Vol. 267, pp. 158--190, May 20, 2014.
  25. Alpay Alkan and Ender Özcan. Memetic Algorithms for Timetabling, in Proceedings of the Congress on Evolutionary Computation 2003 (CEC'2003), volume 3, pages 1796-1802, Piscataway, New Jersey, December 2003. Canberra, Australia, IEEE Service Center.
  26. M.R. AlRashidi and M.E. El-Hawary. Emission-economic dispatch using a novel constraint handling particle swarm optimization strategy, in 2006 Canadian Conference on Electrical and Computer Engineering, pp. 486--491, IEEE Press, Ottawa, Canada, May 7-10, 2006, ISBN 978-1-4244-0037-9.
  27. Jaime Alvarez-Gallegos, Carlos Alberto Cruz Villar and Edgar Alfredo Portilla Flores. Evolutionary Dynamic Optimization of a Continuously Variable Transmission for Mechanical Efficiency Maximization. In Alexander Gelbukh, Álvaro de Albornoz and Hugo Terashima-Marín (editors), MICAI 2005: Advances in Artificial Intelligence, pages 1093-1102, Monterrey, México, November 2005. Springer.
  28. María-Yaneli Ameca-Alducin, Efrén Mezura-Montes and Nicandro Cruz-Ramírez. Differential Evolution with Combined Variants for Dynamic Constrained Optimization, in 2014 IEEE Congress on Evolutionary Computation (CEC'2014), pp. 975--982, IEEE Press, Beijing, China, 6-11 July 2014, ISBN 978-1-4799-1488-3.
  29. Nima Amjady and Hossein Sharifzadeh. Security constrained optimal power flow considering detailed generator model by a new robust differential evolution algorithm, Electric Power Systems Research, Vol. 81, No. 2, pp. 740--749, February, 2011.
  30. Nima Amjady, Hamzeh Fatemi and Hamidreza Zareipour. Solution of Optimal Power Flow Subject to Security Constraints by a New Improved Bacterial Foraging Method, IEEE Transactions on Power Systems, Vol. 27, No. 3, pp. 1311--1323, August 2012.
  31. Adil Amirjanov. Investigation of a changing range genetic algorithm in noisy environments, International Journal for Numerical Methods in Engineering, Vol. 73, No. 1, pp. 26--46, January 1, 2008.
  32. A. Andrade-Campos, S. Thuillier, P. Pilvin and F. Teixeira-Dias. On the determination of material parameters for internal variable thermoelastic-viscoplastic constitutive models, International Journal of Plasticity, Vol. 23, No. 8, pp. 1349-1379, 2007
  33. Anders Angantyr, Johan Andersson and Jan-Olov Aidanpaa. Constrained Optimization based on a Multiobjective Evolutionary Algorithms, in Proceedings of the Congress on Evolutionary Computation 2003 (CEC'2003), volume 3, pages 1560-1567, Piscataway, New Jersey, December 2003. Canberra, Australia, IEEE Service Center.
  34. Anders Angantyr and Jan Olov Aidanpää. A Pareto-Based Genetic Algorithm Search Approach to Handle Damped Natural Frequency Constraints in Turbo Generator Rotor System Design. Journal of Engineering for Gas Turbines and Power, 126(3):619-625, July 2004.
  35. P. Antonin, A.P. Catherine, D. Serge and P. Luc. About the relevance of mathematical programming and stochastic optimisation methods : Application to optimal batch plant design problems, in 15th European Symposium on Computer-Aided Process Engineering (ESCAPE-15), pp. 49--54, Elsevier, Computer-Aided Chemical Engineering Series, Barcelona, Spain, May 29-June 1, 2005, ISBN 0-444-51987-4.
  36. Jaroslaw Arabas, Adam Szczepankiewicz and Tomasz Wroniak. Experimental Comparison of Methods to Handle Boundary Constraints in Differential Evolution. in Robert Schaefer, Carlos Cotta, Joanna Kolodziej and Günter Rudolph (editors), Parallel Problem Solving from Nature--PPSN XI, 11th International Conference, Proceedings, Part II, pp. 411--420, Springer, Lecture Notes in Computer Science Vol. 6239, Kraków, Poland, September, 2010.
  37. Victoria S. Aragón, Susana C. Esquivel and Carlos A. Coello Coello. A Novel Model of Artificial Immune System for Solving Constrained Optimization Problems with Dynamic Tolerance Factor, in Alexander Gelbukh and Ángel Fernando Kuri Morales (editors), MICAI 2007: Advances in Artificial Intelligence, 6th International Conference on Artificial Intelligence, pp. 19--29, Springer, Lecture Notes in Artificial Intelligence Vol. 4827, Aguascalientes, México, November 2007.
  38. Victoria S. Aragón, Susana C. Esquivel and Carlos A. Coello Coello. Artificial Immune System for Solving Constrained Optimization Problems, Revista Iberoamericana de Inteligencia Artificial, Vol. 11, No. 35, pp. 55--66, 2007.
  39. Victoria S. Aragón, Susana C. Esquivel and Carlos A. Coello Coello. Optimizing Constrained Problems through a T-Cell Artificial Immune System, Journal of Computer Science & Technology, Vol. 8, No. 3, pp. 158-165, 2008.
  40. Marcella C. Araujo, Elizabeth F. Wanner, Frederico G. Guimarães and Ricardo H. C. Takahashi. Constrained Optimization Based on Quadratic Approximations in Genetic Algorithms, in Efrén Mezura-Montes (editor), Constraint-Handling in Evolutionary Computation, chapter 9, pp. 193-217, Springer. Studies in Computational Intelligence, Volume 198, Berlin, 2009. ISBN 978-3-642-00618-0.
  41. Dirk V. Arnold and Daniel Brauer. On the Behaviour of the (1+1)-ES for a Simple Constrained Problem, in Günter Rudolph, Thomas Jansen, Simon Lucas, Carlo Poloni and Nicola Beume (editors), Parallel Problem Solving from Nature--PPSN X, pp. 1--10, Springer, Lecture Notes in Computer Science Vol. 5199, Dortmund, Germany, September 2008
  42. Dirk V. Arnold. On the behaviour of the (1,λ)-ES for a simple constrained problem, in Hans-Georg Beyer and William B. Langdon (editors), Proceedings of the 2011 ACM SIGEVO Foundations of Genetic Algorithms XI (FOGA'2011), pp. 15--24, ACM Press, Schwarzenberg, Austria, January 5--9, 2011.
  43. Dirk V. Arnold. Analysis of a Repair Mechanism for the (1,λ)-ES Applied to a Simple Constrained Problem, in 2011 Genetic and Evolutionary Computation Conference (GECCO'2011), pp. 853--860, ACM Press, Dublin, Ireland, July 12-16, 2011.
  44. Dirk V. Arnold and Nikolaus Hausen. A (1+1)-CMA-ES for Constrained Optimisation, in 2012 Genetic and Evolutionary Computation Conference (GECCO'2012), pp. 297--304, ACM Press, Philadelphia, USA, July 2012, ISBN: 978-1-4503-1177-9.
  45. Dirk V. Arnold. On the Behaviour of the (1,λ)-σSA-ES for a Constrained Linear Problem, in Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia and Mario Pavone (editors), Parallel Problem Solving from Nature - PPSN XII, 12th International Conference, pp. 82--91, Springer. Lecture Notes in Computer Science Vol. 7491, Taormina, Italy, September 1-5, 2012.
  46. Dirk V. Arnold. On the Behaviour of the (1,λ)-ES for a Conically Constrained Problem, in 2013 Genetic and Evolutionary Computation Conference (GECCO'2013), pp. 423--430, ACM Press, New York, USA, July 6-10, 2013, ISBN 978-1-4503-1963-8.
  47. Dirk V. Arnold and Jeremy Porter. Towards an Augmented Lagrangian Constraint-Handling Approach for the (1+1)-ES, in 2015 Genetic and Evolutionary Computation Conference (GECCO 2015), pp. 249--256, ACM Press, Madrid, Spain, July 11-15, 2015, ISBN 978-1-4503-3472-3.
  48. Dirk V. Arnold. An Active-Set Evolution Strategy for Optimization with Known Constraints, in Julia Handl, Emma Hart, Peter R. Lewis, Manuel López-Ibáñez, Gabriela Ochoa and Ben Paechter (Editors), Parallel Problem Solving from Nature -- PPSN XIV, 14th International Conference, pp. 192--202, Springer. Lecture Notes in Computer Science Vol. 9921, Edinburgh, UK, September 17-21, 2016, ISBN 978-3-319-45822-9.
  49. Md. Asafuddoula, Tapabrata Ray and Ruhul Sarker. An Adaptive Differential Evolution Algorithm and its Performance on Real World Optimization Problems, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 1057--1062, IEEE Service Center, New Orleans, Lousiana, USA, 5-8 June, 2011.
  50. Md Asafuddoula, Tapabrata Ray, Ruhul Sarker and Khairu Alam. An Adaptive Constraint Handling Approach Embedded MOEA/D, in 2012 IEEE Congress on Evolutionary Computation (CEC'2012), pp. 2516--2523, IEEE Press, Brisbane, Australia, June 10-15, 2012.
  51. Asma Atamna, Anne Auger and Nikolaus Hansen. Augmented Lagrangian Constraint Handling for CMA-ES --- Case of a Single Linear Constraint, in Julia Handl, Emma Hart, Peter R. Lewis, Manuel López-Ibáñez, Gabriela Ochoa and Ben Paechter (Editors), Parallel Problem Solving from Nature -- PPSN XIV, 14th International Conference, pp. 181--191, Springer. Lecture Notes in Computer Science Vol. 9921, Edinburgh, UK, September 17-21, 2016, ISBN 978-3-319-45822-9.
  52. M.M. Atiqullah and S.S. Rao. Simulated annealing and parallel processing: An implementation for constrained global design optimization, Engineering Optimization, Vol. 32, No. 5, pp. 659--685, 2000.
  53. Gideon Avigad and Kalyanmoy Deb. The Sequential Optimization-Constraint Multi-objective Problem and its Applications for robust Planning of robot paths, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 2101-2108, IEEE Press, Singapore, September 2007.
  54. M. Tamer Ayvaz, Ali Haydar Kayhan, Huseyin Ceylan and Gurhan Gurarslan. Hybridizing the harmony search algorithm with a spreadsheet 'Solver' for solving continuous engineering optimization problems, Engineering Optimization, Vol. 41, No. 12, pp. 1119--1144, 2009.

  55. B


  56. Nebojsa Bacanin and Milan Tuba. Artificial Bee Colony (ABC) Algorithm for Constrained Optimization Improved with Genetic Operators, Studies in Informatics and Control, Vol. 21, No. 2, pp. 137--146, June, 2012.
  57. Thomas Bäck, Agoston E. Eiben and Marco E. Vink. A Superior Evolutionary Algorithm for 3-SAT, in V.W. Porto, N. Saravanan, D. Waagen and A.E. Eiben (editors), Proceedings of the 7th International Conference on Evolutionary Programming (EP98), pages 125-136, Heidelberg, Germany, March 1998. San Diego, California, USA, Springer-Verlag. Lecture Notes in Computer Science Vol. 1447.
  58. Thomas Bäck and Sami Khuri. An Evolutionary Heuristic for the Maximum Independent Set Problem, in Z. Michalewicz, J.D. Schaffer, H.-P. Schwefel, D.B. Fogel and H. Kitano (editors), Proceedings of the First IEEE Conference on Evolutionary Computation, pp. 531--535, IEEE Press, Piscataway, New Jersey, USA, 1994.
  59. Thomas Bäck, Martin Schültz and Sami Khuri. A Comparative Study of Penalty Function, a Repair Heuristic and Stochastic Operators with the Set-Covering Problem, in J.-M. Alliot, E. Lutton, E. Ronald, M. Schoenauer and D. Snyers (editors), Proceedings of the 2nd European Conference on Artificial Evolution (AE 1995), pages 320-332, Heidelberg, Germany, September 1995. Brest, France, Springer-Verlag. Lecture Notes in Computer Science Vol. 1063.
  60. Ruibin Bai, Edmund K. Burke, Graham Kendall, Jingpeng Li and Barry McCollum. A Hybrid Evolutionary Approach to the Nurse Rostering Problem, IEEE Transactions On Evolutionary Computation, Vol. 14, No. 4, pp. 580-590, August 2010.
  61. Liang Bai, Yongheng Jiang and Dexian Huang. A Novel Two-Level Optimization Framework Based on Constrained Ordinal Optimization and Evolutionary Algorithms for Scheduling of Multipipeline Crude Oil Blending, Industrial & Engineering Chemistry Research, Vol. 51, No. 26, pp. 9078--9093, July 4, 2012.
  62. Liang Bai, Junyan Wang, Yongheng Jiang and Dexian Huang. Improved Hybrid Differential Evolution-Estimation of Distribution Algorithm with Feasibility Rules for NLP/MINLP Engineering Optimization Problems, Chinese Journal of Chemical Engineering, Vol. 20, No. 6, pp. 1074--1080, December 2012.
  63. Stuart Bain, John Thorton and Abdul Sattar. Evolving Algorithms for Constraint Satisfaction, in Proceedings of the Congress on Evolutionary Computation 2004 (CEC'2004), volume 1, pages 265-272, Piscataway, New Jersey, June 2004. Portland, Oregon, USA, IEEE Service Center.
  64. Jerzy Balicki. Multi-criterion Evolutionary Algorithm with Model of the Immune System to Handle Constraints for Task Assignments. In Leszek Rutkowski, Jörg H. Siekmann, Ryszard Tadeusiewicz and Lotfi A. Zadeh (editors), Artificial Intelligence and Soft Computing - ICAISC 2004, 7th International Conference. Proceedings, pages 394-399, Zakopane, Poland, June 2004. Springer. Lecture Notes in Computer Science. Volume 3070.
  65. Jerzy Balicki and Zygmunt Kitowski. Model of the Immune System to Handle Constraints in Evolutionary Algorithm for Pareto Task Assignments, in Mieczyslaw A. Klopotek, Slawomir T. Wierzchon and Krzysztof Trojanowski (editors), Intelligent Information Processing and Web Mining, Proceedings of the International IIS: IIPWM'03, pages 3-12. Springer, 2003.
  66. Sunith Bandaru, Rupesh Tulshyan and Kalyanmoy Deb. Modified SBX and Adaptive Mutation for Real World Single Objective Optimization, in 2011 IEEE Congress on Evolutionary Computation (CEC'2011), pp. 1335--1342, IEEE Service Center, New Orleans, Lousiana, USA, 5-8 June, 2011.
  67. Oliver Bandte and Sergey Malinchik. A Broad and Narrow Approach to Interactive Evolutionary Design - An Aircraft Design Example, in Kalyanmoy Deb, Riccardo Poli, Wolfgang Banzhaf, Hans-Georg Beyer, Edmund Burke, Paul Darwen, Dipankar Dasgupta, Dario Floreano, James Foster, Mark Harman, Owen Holland, Pier Luca Lanzi, Lee Spector andrea Tettamanzi, Dirk Thierens and Andy Tyrrell (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2004), pages 883-895, Heidelberg, Germany, June 2004. Seattle, WA, Springer Verlag. Lecture Notes in Computer Science Vol. 3103.
  68. J.R. Banga, C.G. Moles and A.A. Alonso. Global optimization of bioprocesses using stochastic and hybrid methods, in C.A. Floudas and P. Pardalos (editors), Frontiers in Global Optimization, pp. 45--70, Kluwer Academic Publishers, 2004, ISBN 1-4020-7699-1.
  69. Helio J. C. Barbosa. A Coevolutionary Genetic Algorithm for Constrained Optimization, in Proceedings of the Congress on Evolutionary Computation 1999 (CEC'99), volume 3, pages 1605-1611, Piscataway, New Jersey, July 1999. IEEE Service Center.
  70. Helio J.C. Barbosa and Afonso C.C. Lemonge. An adaptive penalty scheme in genetic algorithms for constrained optimization problems, in W.B. Langdon, E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke and N.Jonoska (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pages 287-294, San Francisco, California, July 2002. Morgan Kaufmann Publishers.
  71. Helio J.C. Barbosa and Afonso C.C. Lemonge. An Adaptive Penalty Scheme for Steady-State Genetic Algorithms, in Erick Cantú-Paz, James A. Foster, Kalyanmoy Deb, Lawrence David Davis, Rajkumar Roy, Una-May O' Reilly, Hans-Georg Beyer, Russell Standish, Graham Kendall, Stewart Wilson, Mark Harman, Joachim Wegener, Dipankar Dasgupta, Mitch A. Potter, Alan C. Schultz, Kathryn A. Dowsland, Natasha Jonoska and Julian Miller (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2003), pages718-729, Heidelberg, Germany, July 2003. Chicago, Illinois, Springer Verlag. Lecture Notes in Computer Science Vol. 2723.
  72. H.J.C. Barbosa and A.C.C. Lemonge. A new adaptive penalty scheme for genetic algorithms, Information Sciences, Vol. 156, Nos. 3-4, pp. 215--251, November 2003.
  73. Helio J.C. Barbosa and Afonso C.C. Lemonge. A Genetic Algorithm Encoding for a Class of Cardinality Constraints. In H.-G. Beyer, U.-M. O'Reilly, D.V. Arnold, W. Banzhaf, C. Blum, E.W. Bonabeau, E. Cant Paz, D. Dasgupta, K. Deb, J.A. Foste r, E.D. de Jong, H. Lipson, X. Llora, S. Mancoridis, M. Pelikan, G.R. Raidl, T. Soule, A. Tyrrell, J.-P. Watson and E. Zitzler (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2005), volume 2, pages 1193-1200, New York, June 2005. Washington DC, USA, ACM Press. ISBN 1-59593-010-8.
  74. Helio J. C. Barbosa, Heder S. Bernardino and André M. S. Barreto. Using performance profiles to analyze the results of the 2006 CEC constrained optimization competition, in 2010 IEEE Congress on Evolutionary Computation (CEC'2010), pp. 4586--4593, IEEE Press, Barcelona, Spain, July 18--23, 2010.
  75. Helio J.C. Barbosa, Alfonso C.C. Lemonge, Leonardo G. Fonseca and Heder S. Bernardino. Comparing Two Constraint Handling Techniques in a Binary-Coded Genetic Algorithm for Optimization Problems, in Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis and Kay Chen Tan (editors), Simulated Evolution and Learning, 8th International Conference, SEAL 2010, pp. 125--134, Springer. Lecture Notes in Computer Science Vol. 6457, Kanpur, India, December 1-4, 2010.
  76. Vincent Barichard and Jin-Kao Hao. A Population and Interval Constraint Propagation Algorithm, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pages 88-101, Faro, Portugal, April 2003. Springer. Lecture Notes in Computer Science. Volume 2632.
  77. D.J. Barrett, M.J. Hill, L.B. Hutley, J. Beringer, J.H. Xu, G.D. Cook, J.O. Carter and R.J. Williams. Prospects for improving savanna biophysical models by using multiple-constraints model-data assimilation methods. Australian Journal of Botany, 53(7):689-714, 2005.
  78. S.K. Basu and A.K. Bhatia. A naive genetic approach for non-stationary constrained problems, Soft Computing, Vol. 10, No. 2, pp. 152--162, January 2006.
  79. Joaquín Bautista and Jordi Pereira. Ant Algorithms for Assembly Line Balancing, in Marco Dorigo, Gianna Di Caro and Michael Sampels (editors), Proceedings of the Third International Workshop, (ANTS'2002), pages 65-75. Brussels, Belgium, Springer Verlag, September 2002. Lecture Notes in Computer Science Vol. 2463.
  80. Adil Baykasoglu. Design optimization with chaos embedded great deluge algorithm, Applied Soft Computing, Vol. 12, No. 3, pp. 1055--1067, March 2012.
  81. James C. Bean. Genetics and random keys for sequencing and optimization. Technical Report TR 92-43, Department of Industrial and Operations Engineering, The University of Michigan, 1992.
  82. James C. Bean. Genetics and random keys for sequencing and optimization. ORSA Journal on Computing, 6(2):154-160, 1994.
  83. Eric Beaser, Jennifer K. Schwartz, Caleb B. Bell and Edward I. Solomon. Hybrid Genetic Algorithm with an Adaptive Penalty Function for Fitting Multimodal Experimental Data: Application to Exchange-Coupled Non-Kramers Binuclear Iron Active Sites, Journal of Chemical Information and Modeling, Vol. 51, No. 9, pp. 2164--2173, September, 2011.
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  85. Meriema Belaidouni and Jin-Kao Hao. An Analysis of the Configuration Space of the Maximal Constraint Satisfaction Problem. In M. Schoenauer, K. Deb, G. Rudolph, X. Yao, E. Lutton, J.J. Merelo and H.-P. Schwefel (editors), Proceedings of 6th Parallel Problem Solving From Nature (PPSN VI ), pages 49-58, Heidelberg, Germany, September 2000. Paris, France, Springer-Verlag. Lecture Notes in Computer Science Vol. 1917.
  86. A. D. Belegundu and J. S. Arora. A computational study of transformation methods for optimal design. AIAA Journal, 22(4):535-542, 1984.
  87. Sheela V. Belur. CORE: Constrained Optimization by Random Evolution, in John R. Koza (editor), Late Breaking Papers at the Genetic Programming 1997 Conference, pages 280-286, Stanford University, California, July 1997. Stanford Bookstore.
  88. H.S. Bernardino, H.J.C. Barbosa and A.C.C Lemong. A Hybrid Genetic Algorithm for Constrained Optimization Problems in Mechanical Engineering, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pages 646--653, Singapore, September 2007. IEEE Press
  89. H. S. Bernardino, H. J. C. Barbosa, A. C. C. Lemonge and L. G. Fonseca. A New Hybrid AIS-GA for Constrained Optimization Problems in Mechanical Engineering, in 2008 Congress on Evolutionary Computation (CEC'2008), pp. 1455--1462, IEEE Service Center, Hong Kong, June 2008.
  90. Heder S. Bernardino, Helio J. C. Barbosa, Afonso C. C. Lemonge and Leonardo G. Fonseca. On GA-AIS Hybrids for Constrained Optimization Problems in Engineering, in Efrén Mezura-Montes (editor), Constraint-Handling in Evolutionary Computation, chapter 8, pp. 167-192, Springer. Studies in Computational Intelligence, Volume 198, Berlin, 2009. ISBN 978-3-642-00618-0.
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