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: August 23th, 2010

(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. 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.

  3. 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), pages 838-849, Heidelberg, Germany, June 2004. Seattle, WA, Springer Verlag. Lecture Notes in Computer Science Vol. 3103.

  4. 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), volume 1, pages 560-565, Piscataway, New Jersey, December 2003. Canberra, Australia, IEEE Service Center.

  5. 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.

  6. Hojjat Adeli and Nai-Tsang Cheng. Augmented Lagrangian Genetic Algorithm for Structural Optimization. Journal of Aerospace Engineering, 7(1):104-118, January 1994.

  7. M. H. Afshar and M. A. Mariño. A parameter-free self-adapting boundary genetic search for pipe network optimization. Computational Optimization and Applications, 37(1):83--102, May 2007.

  8. M.H. Afshar. Penalty adapting ant algorithm: application to pipe network optimization, Engineering Optimization, Vol. 40,No. 10, pp. 969--987, October 2008.

  9. Shamim Akhtar, Kang Tai and Tapabrata Ray. A Socio-Behavioural Simulation Model for Engineering Design Optimization. Engineering Optimization, 34(4):341-354, 2002.

  10. 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, pages 153-174. John Wiley & Sons, England, 1998.

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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

  16. 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.

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  21. 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.

  22. 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

  23. 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.

    24. B


  24. 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.

  25. 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, pages 531-535, Piscataway, New Jersey, 1994. IEEE Press.

  26. 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.

  27. 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.

  28. 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.

  29. 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.

  30. 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.

  31. 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.

  32. 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.

  33. 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.

  34. 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.

  35. 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.

  36. 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.

  37. 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.

  38. 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.

  39. James C. Bean. Genetics and random keys for sequencing and optimization. ORSA Journal on Computing, 6(2):154-160, 1994.

  40. James C. Bean and Atidel Ben Hadj-Alouane. A Dual Genetic Algorithm for Bounded Integer Programs. Technical Report TR 92-53, Department of Industrial and Operations Engineering, The University of Michigan, 1992. To appear in R.A.I.R.O.-R.O. (invited submission to special issue on GAs and OR).

  41. 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.

  42. A. D. Belegundu and J. S. Arora. A computational study of transformation methods for optimal design. AIAA Journal, 22(4):535-542, 1984.

  43. 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.

  44. 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

  45. 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.

  46. 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.

  47. Heder S. Bernardino and Helio J. C. Barbosa. Artificial Immune Systems for Optimization, in Raymond Chiong (Editor), Nature-Inspired Algorithms for Optimisation, pp. 389--411, Springer, Berlin, ISBN 978-3-642-00266-3, 2009.

  48. J. L. Bernier, C. Ilia Herráiz, J. J. Merelo, S. Olmeda and A. Prieto. Solving Mastermind Using GAs and Simulated Annealing: A Case of Dynamic Constraint Optimization. In H.-M. Voigt, W. Ebeling, I. Rechenberg and H.-P. Schwefel (editors), Proceedings of the Fourth Conference on Parallel Problem Solving from Nature (PPSN IV), pages 554-563, Heidelberg, Germany, September 1996. Berlin, Germany, Springer-Verlag.

  49. M. A. Bhatti, E. Polak and K. S. Pister. OPTDYN--A General Purpose Optimization Program for Problems With or Without Dynamic Constraints. Technical Report UCB/EERC-79/16, University of California, Berkeley, 1979.

  50. George Bilchev and Ian C. Parmee. The Ant Colony Metaphor for Searching Continuous Design Spaces, in Terence C. Fogarty (editor), Evolutionary Computing. AISB Workshop. Selected Papers, pages 25-39, Sheffield, U.K., April 1995. Springer-Verlag. Lecture Notes in Computer Science No. 993.

  51. George Bilchev and Ian C. Parmee. Constrained and Multi-Modal Optimisation with an Ant Colony Search Model, in Ian C. Parmee and M. J. Denham (editors), Proceedings of 2nd International Conference on Adaptive Computing in Engineering Design and Control. University of Plymouth, Plymouth, UK, March 1996.

  52. George Bilchev and Ian Parmee. Constraint Handling for the Fault Coverage Code Generation Problem: An Inductive Evolutionary Approach, in H.-M. Voigt, W. Ebeling, I. Rechenberg and H.-P. Schwefel (editors), Proceedings of the Fourth Conference on Parallel Problem Solving from Nature (PPSN IV), pages 880-889, Heidelberg, Germany, September 1996. Berlin, Germany, Springer-Verlag.

  53. George Bilchev and Ian Parmee. Constraint handling for the fault coverage code generation problem: An inductive evolutionary approach, in Hans-Michael Voigt, Werner Ebeling, Ingo Rechenberger and Hans-Paul Schwefel (editors), Parallel Problem Solving from Nature — PPSN IV, pp. 880-889, Springer. Lecture Notes in Computer Science, Vol. 1141, Berlin, Germany, 1996.

  54. B. Bochenek and P. Forys. Structural optimization for post-buckling behavior using particle swarms. Structural and Multidisciplinary Optimization, 32(6):521-531, December 2006.

  55. James Bowen and Gerry Dozier. Solving Constraint Satisfaction Problems Using A Genetic/Systematic Search Hybrid That Realizes When to Quit, in Larry J. Eshelman (editor), Proceedings of the Sixth International Conference on Genetic Algorithms (ICGA-95), pages 122-129, San Francisco, California, July 1995. University of Pittsburgh, Morgan Kaufmann Publishers.

  56. P.V.G. Bradbeer, C. Findlay and T.C. Fogarty. An Ambulance Crew Rostering System, in Stefano Cagnoni et al. (editor), Proceedings of Real World Applications of Evolutionary Computing. EvoWorkshops 2000: EvoIASP, EvoSCONDI, EvoTel, EvoSTIM, EvoRob and EvoFlight, pages 267-276, Edinburgh, Scotland, April 2000. Springer Verlag. Lecture Notes in Computer Science Vol. 1803.

  57. Janez Brest, Viljem Zumer and Mirjam Spesy Maucecc. Control Parameters in Self-Adaptive Differential Evolution. In Bogdan Filipic and Jurij Silc (editors), Bioinspired Optimization Methods and Their Applications, pages 35-44, Ljubljana, Slovenia, October 2006. Jozef Stefan Institute.

  58. Janez Brest and Viljem Zumer and Mirjam Sepesy Maucec. Self-Adaptative Differential Evolution Algorithm in Constrained Real-Parameter Optimization, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 919--926, IEEE, Vancouver, BC, Canada, July 2006

  59. Janez Brest. Constrained Real-Parameter Optimization with ε-Self-Adaptive Differential Evolution, in Efrén Mezura-Montes (editor), Constraint-Handling in Evolutionary Computation, chapter 4, pp. 73-93, Springer. Studies in Computational Intelligence, Volume 198, Berlin, 2009. ISBN 978-3-642-00618-0.

  60. Mihaela Breaban, Madalina Ionita and Cornelius Croitoru. A new PSO approach to constraint satisfaction, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 1948-1954, IEEE Press, Singapore, September 2007.

  61. Edmund Burke, Patrick De Causmaecker and Greet Vanden Berghe. Hybrid Tabu Search Algorithm for the Nurse Rostering Problem. In Bob McKay, Xin Yao, Charles S. Newton, Jong-Hwan Kim and Takeshi Furuhashi (editors), Proceedings of the 2nd Asia-Pacific Conference on Simulated Evolution and Learning (SEAL 1998), pages 187-194, Heidelberg, Germany, November 1998. Canberra, Australia, Springer-Verlag. Lecture Notes in Artificial Intelligence Vol. 1585.

  62. Edmund Burke, David Elliman and Rupert Weare. Specialised Recombinative Operators for Timetabling Problems, in Terence C. Fogarty (editor), Evolutionary Computing. AISB Workshop. Selected Papers, pages 75-85, Sheffield, U.K., April 1995. Springer-Verlag. Lecture Notes in Computer Science No. 993.

  63. E.K. Burke and D.B. Varley. Automating Space Allocation in Higher Education, in Bob McKay, Xin Yao, Charles S. Newton, Jong-Hwan Kim and Takeshi Furuhashi (editors), Proceedings of the 2nd Asia-Pacific Conference on Simulated Evolution and Learning (SEAL 1998), pages 66-73, Heidelberg, Germany, November 1998. Canberra, Australia, Springer-Verlag. Lecture Notes in Artificial Intelligence Vol. 1585.

    64. C


  64. Juan C. Fuentes Cabrera and Carlos A. Coello Coello. Handling Constraints in Particle Swarm Optimization using a Small Population Size, in Alexander Gelbukh and Ángel Fernando Kuri Morales (editors), MICAI 2007: Advances in Artificial Intelligence, 6th International Conference on Artificial Intelligence, pp. 41--51, Springer, Lecture Notes in Artificial Intelligence Vol. 4827, Aguascalientes, México, November 2007.

  65. Leticia C. Cagnina, Susana C. Esquivel and Carlos A. Coello Coello. A Particle Swarm Optimizer for Constrained Numerical Optimization. In Thomas Philip Runarsson, Hans-Georg Beyer, Edmund Burke, Juan J. Merelo-Guervós, L. Darrell Whitley and Xin Yao (editors), Parallel Problem Solving from Nature (PPSN IX). 9th International Conference, pages 910-919, Reykjavik, Iceland, September 2006. Reykjavik, Iceland, Springer. Lecture Notes in Computer Science Vol. 4193.

  66. Leticia Cagnina, Susana Esquivel and Carlos Coello Coello. A Bi-population PSO with a Shake-Mechanism for Solving Constrained Numerical Optimization, in 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pages 670-676. IEEE Press, Singapore, September 2007.

  67. Leticia C. Cagnina, Susana C. Esquivel and Carlos A. Coello Coello. Solving Engineering Optimization Problems with the Simple Constrained Particle Swarm Optimizer, in Bogan Filipic and Jurij Silc (editors), Third International Conference on Bioinspired Optimization Methods and their Applications (BIOMA 2008), pp. 107--120, Ljubljana, Slovenia, Jozef Stefan Institute, October 2008, ISBN 978-961-264-002-6.

  68. Leticia C. Cagnina, Susana C. Esquivel and Carlos A. Coello Coello. Solving Engineering Optimization Problems with the Simple Constrained Particle Swarm Optimizer, Informatica, Vol. 32, pp. 319-326, 2008.

  69. Félix Calderón, Claudio R. Fuerte-Esquivel, Juan J. Flores and Juan C. Silva. A Constraint-Handling Genetic Algorithm to Power Economic Dispatch, in Alexander F. Gelbukh and Eduardo F. Morales (editors) MICAI 2008: Advances in Artificial Intelligence, 7th Mexican International Conference on Artificial Intelligence, pp. 371--381, Springer. Lecture Notes in Computer Science Vol. 5317, Atizapán de Zaragoza, Mexico, October 27-31, 2008. ISBDN 978-3-540-88635-8

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  71. Y. J. Cao and Q. H. Wu. Mechanical Design Optimization by Mixed-Variable Evolutionary Programming, in Thomas Bäck, Zbigniew Michalewicz and Xin Yao (editors), Proceedings of the 1997 International Conference on Evolutionary Computation, pages 443-446, Indianapolis, Indiana, 1997. IEEE.

  72. Cuiwen Cao, Jinwei Gu, Bin Jiao, Zhong Xin and Xingsheng Gu. Optimizing Constrained Non-convex NLP Problems in Chemical Engineering Field by a Novel Modified Goal Programming Genetic Algorithm, 2009 ACM SIGEVO Summit on Genetic and Evolutionary Computation (GEC'2009), pp. 17-24, ACM Press, Shanghai, China, June 12-14 2009. ISBN 978-1-60558-326-6.

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  78. P.M.S. Carvalho, L.A.F.M. Ferreira and L.M. Barruncho. Solving Radial Topology Constrained Problems with Evolutionary Algorithms, in Bob McKay, Xin Yao, Charles S. Newton, Jong-Hwan Kim and Takeshi Furuhashi (editors), Proceedings of the 2nd Asia-Pacific Conference on Simulated Evolution and Learning (SEAL 1998), pages 58-65, Heidelberg, Germany, November 1998. Canberra, Australia, Springer-Verlag. Lecture Notes in Artificial Intelligence Vol. 1585.

  79. Chee-Keong Chan, Hoay Beng Gooi and Meng Hiot Lim. Duration-Dependent Multi-Schedule Evolutionary Curriculum Timetabling. In Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'2002), volume 2, pages 677-681, Orchid Country Club, Singapore, November 2002. Nanyang Technical University.

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  83. Ming Chang, Kazuhiro Ohkura, Kanji Ueda and Masaharu Sugiyama. Group Selection and Its Application to Constrained Evolutionary Optimization, in Proceedings of the Congress on Evolutionary Computation 2003 (CEC'2003), volume 1, pages 684-691, Piscataway, New Jersey, December 2003. Canberra, Australia, IEEE Service Center.

  84. Wei-Wen Chang, Chan-Jin Chung and Bernard Sendhoff. Target Shape Design Optimization with Evolutionary Computation, in Proceedings of the Congress on Evolutionary Computation 2003 (CEC'2003), volume 3, pages 1864-1870, Piscataway, New Jersey, December 2003. Canberra, Australia, IEEE Service Center.

  85. N. H. Chao, S. J. Fenves and A. W. Westerberg. Application of Reduced Quadratic Programming Technique to Optimal Structural Design. In E. Atrek, R. H. Gallagher, K. M. Radgsdell and O. C. Zienkiewicz (editors), New Directions in Optimum Structural Design. John Wiley, New York, 1984.

  86. Tao XieHuowang Chen. Problem Decomposition-Based Scalable Macro-Evolutionary Algorithms, in Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), volume 1, pages 223-231, Piscataway, New Jersey, May 2001. IEEE Service Center.

  87. Y. X. Chen. Optimal Anytime Search for Constrained Nonlinear Programming.Master's thesis, Dept. of Computer Science, Univ. of Illinois, Illinois, May 2001.

  88. Min-Rong Chen, Yong-Zai Lu and Genke Yang. Population-Based Extremal Optimization with Adaptive Lévy Mutation for Constrained Optimization, in Yuping Wang, Yiu-ming Cheung and Hailin Liu (editors)Computational Intelligence and Security, International Conference, CIS 2006, pp. 144-155, Springer. Lecture Notes in Computer Science 4456, Guangzhou, China, November 2007.

  89. Shuting Chen and Yunhao Li. A Novel Two-Level Evolutionary Algorithm for Solving Constrained Function Optimization, in 2009 International Conference on Signal Processing Systems, pp. 702-706, IEEE Computer Society Press, Singapore, May 15-17, 2009.

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