T. B-ack, F. Homeister, and H. Schwefel, EVOLUTION STRATEGIES COMPARED TO GENETIC ALGORITHMS IN FINDING OPTIMAL SIGNAL TIMING FOR OVERSATURATED TRANSPORTATION NETWORK, Proceedings of the International Joint Conference on Computational Intelligence, pp.2-9, 2009.

J. C. Bean and A. B. Hadj-alouane, A dual genetic algorithm for bounded integer programs, 1992.

G. Bilchev,

G. Bilchev and I. Parmee, Ant colony search vs. genetic algorithms, 1995.

A. Colorni, M. Dorigo, and V. Maniezzo, Distributed optimization by ant colonies, Computational Optimization and Applications, vol.9, issue.3, pp.275-298, 1998.

L. Davis, Adapting operator probabilities in genetic algorithms, Proceedings of the 3 rd International Conference on Genetic Algorithms, pp.61-69, 1989.

L. Davis, , 1995.

K. Dejong, Thesis Abstract. Michael J. PIVA, "The Condition of the Working Class in Toronto, 1900-1921", Ph.D. Thesis, Concordia University, 1975., Urban History Review, vol.36, issue.1-76, p.25, 1976.

A. E. Eiben, P. Raué, and Z. S. Ruttkay, Genetic algorithms with multi-parent recombination, Parallel Problem Solving from Nature ? PPSN III, pp.78-87, 1994.

L. J. Eshelman and J. D. Schaffer, Real-Coded Genetic Algorithms and Interval-Schemata, Foundations of Genetic Algorithms, vol.2, pp.187-202, 1993.

C. A. Floudas and P. M. Pardalos, A Collection of Test Problems for Constrained Global Optimization Algorithms, LNCS, vol.455, 1990.

D. B. Fogel and L. C. Stayton, On the effectiveness of crossover in simulated evolutionary optimization, Biosystems, vol.32, issue.3, pp.171-182, 1994.

D. B. Fogel, Phenotypes, genotypes, and operators in evolutionary computation, Proceedings of 1995 IEEE International Conference on Evolutionary Computation

F. Glover, HEURISTICS FOR INTEGER PROGRAMMING USING SURROGATE CONSTRAINTS, Decision Sciences, vol.8, issue.1, pp.156-166, 1977.

F. Glover, Genetic algorithms and scatter search: unsuspected potentials, Statistics and Computing, vol.4, issue.2, pp.131-140, 1994.

F. Glover and G. A. Kochenberger, Critical Event Tabu Search for Multidimensional Knapsack Problems, Meta-Heuristics, pp.407-427, 1996.

J. Gregory, What is this book about?, TV FAQ, 2007.

A. Ben-hadj-alouane and J. C. Bean, A Genetic Algorithm for the Multiple-Choice Integer Program, Operations Research, vol.45, issue.1, pp.92-101, 1997.

D. Himmelblau, Some conclusions about the application of nonlinear programming to design, Design Optimization, pp.91-118, 1985.

W. Hock and K. Schittkowski, The Test Problems, Lecture Notes in Economics and Mathematical Systems, pp.23-127, 1981.

A. Homaifar, C. X. Qi, and S. H. Lai, Constrained Optimization Via Genetic Algorithms, SIMULATION, vol.62, issue.4, pp.242-253, 1994.

J. A. Joines and C. R. Houck, On the use of non-stationary penalty functions to solve nonlinear constrained optimization problems with GA's, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence

T. Back and H. Schwefel, Evolutionary computation: an overview, Proceedings of IEEE International Conference on Evolutionary Computation, pp.579-584

A. Keane, Structural Design for Enhanced Noise Performance Using Genetic Algorithm and Other Optimization Techniques, Artificial Neural Nets and Genetic Algorithms, pp.536-543, 1993.

J. Kelly and M. Laguna, Genetic Algorithms Digest. V10n16, 1996.

R. G. Leriche, C. Knopf-lenoir, and R. T. Haftka, A segragated genetic algorithm for constrained structural optimization, Proceedings of the 6 th International Conference on Genetic Algorithms, pp.558-565, 1995.

C. Maa and M. A. Schanblatt, A two-phase optimization neural network, IEEE Transactions on Neural Networks, vol.3, issue.6, pp.1003-1009, 1992.

Z. Michalewicz, Handling Constraints, Genetic Algorithms + Data Structures = Evolution Programs, pp.121-157, 1996.

Z. Michalewicz, Heuristic methods for evolutionary computation techniques, Journal of Heuristics, vol.1, issue.2, pp.177-206, 1996.

Z. Michalewicz, Handling Constraints, Genetic Algorithms + Data Structures = Evolution Programs, pp.121-157, 1996.

Z. Michalewicz and M. Schoenauer, Evolutionary Algorithms for Constrained Parameter Optimization Problems, Evolutionary Computation, vol.4, issue.1, pp.1-32, 1996.
URL : https://hal.archives-ouvertes.fr/hal-02986407

Z. Michalewicz and C. Z. Janikow, Handling Constraints, Genetic Algorithms + Data Structures = Evolution Programs, pp.121-157, 1996.

Z. Michalewicz, T. Logan, and S. Swaminathan, Evolutionary operators for continuous convex parameter spaces, Proceedings of the 3 rd Annual Conference on Evolutionary Programming, pp.84-97, 1994.

Z. Michalewicz and G. Nazhiyath, Genocop III: a co-evolutionary algorithm for numerical optimization problems with nonlinear constraints, Proceedings of 1995 IEEE International Conference on Evolutionary Computation, pp.647-651

Z. Michalewicz and G. Nazhiyath, Genocop III: a co-evolutionary algorithm for numerical optimization problems with nonlinear constraints, Proceedings of 1995 IEEE International Conference on Evolutionary Computation

H. M-uhlenbein and H. Voigt, Gene poool recombination for the breeder genetic algorithm, Proceedings of the Metaheuristics International Conference, pp.19-25, 1995.

H. Myung, J. Kim, and D. Fogel, Preliminary Investigations into a Two-Stage Method of Evolutionary Optimizationon Constrained Problems, Evolutionary Programming IV, pp.449-463, 1995.

D. Orvosh and L. Davis, Shall we repair? Genetic algorithms, combinatorial optimization, and feasibility constraints, Proceedings of the 5 th International Conference on Genetic Algorithms, p.650, 1993.

J. Paredis, Co-evolutionary constraint satisfaction, Parallel Problem Solving from Nature ? PPSN III, pp.46-55, 1994.

I. Parmee and G. Purchase, The Development of Evolutionary and Adaptive Search Strategies for Engineering Design, Evolutionary and Adaptive Computing in Engineering Design, pp.79-87, 2001.

D. Powell and M. M. Skolnick, Using genetic algorithms in engineering design optimization with non-linear constraints, Proceedings of the 5 th International Conference on Genetic Algorithms, pp.424-430, 1993.

I. Rechenberg, Evolutionstrategie: Optimierung Technisher Systeme nach Prinzipien des Biologischen Evolution, 1973.

J. Renders and H. Bersini, Hybridizing genetic algorithms with hill-climbing methods for global optimization: two possible ways, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence

T. Back and H. Schwefel, Evolutionary computation: an overview, Proceedings of IEEE International Conference on Evolutionary Computation, pp.312-317

R. Reynolds, Using Cultural Algorithms for Constraint Handling in GENOCOP, Evolutionary Programming IV, pp.131-139, 1995.

R. Reynolds, Z. Michalewicz, and M. Cavaretta, Using Cultural Algorithms for Constraint Handling in GENOCOP, Evolutionary Programming IV, pp.298-305, 1995.

J. T. Richardson, M. R. Palmer, G. Liepins, and M. Hilliard, Some guidelines for genetic algorithms with penalty functions, Proceedings of the 3 rd International Conference on Genetic Algorithms, pp.191-197, 1989.

D. Schaer, Multiple objective optimization with vector evaluated genetic algorithms, Proceedings of the 1 st International Conference on Genetic Algorithms. Laurence Erlbaum Associates, 1985.

M. Schoenauer and Z. Michalewicz, Evolutionary computation at the edge of feasibility, Parallel Problem Solving from Nature ? PPSN IV, pp.245-254, 1996.

M. Schoenauer and S. Xanthakis, Constrained GA optimization, Proceedings of the 5 th International Conference on Genetic Algorithms, pp.573-580, 1993.
URL : https://hal.archives-ouvertes.fr/hal-02985385

H. Schwefel, Advanced organic chemistry Third edition), by G. W. Wheland. Pp. xi + 871. John Wiley & Sons Inc., New York; John Wiley & Sons Ltd, London. 1960. E7 net, Endeavour, vol.20, issue.79, p.171, 1961.

A. Smith and D. Tate, Genetic optimization using a penalty function, Proceedings of the 5 th International Conference on Genetic Algorithms, pp.499-503, 1993.

P. D. Surry, N. J. Radcliffe, and I. D. Boyd, A multi-objective approach to constrained optimisation of gas supply networks: The COMOGA method, Evolutionary Computing, vol.993, pp.166-180, 1995.

D. Waagen, P. Diercks, and J. Mcdonnell, Evolutionary Programming IV, Proceedings of the 1 st Annual Conference on Evolutionary Programming, 1995.

A. Wright, Genetic Algorithms for Real Parameter Optimization, Foundations of Genetic Algorithms, pp.205-218, 1991.