Genetic algorithms to solve the cover printing problem

Computers and Operations Research

Volumn 34, Issue 11, 2007, Pages 3346-3361

  Elaoud, Samya ^a   Teghem, Jacques ^b   Bouaziz, Bassem ^c  

^a UNIVERSITY OF SFAX   (Tunisia)

^b MATHRO   (Belgium)

^c UNIVERSITY OF SFAX   (Tunisia)

Author keywords

Genetic algorithms; Mixed integer programming; Multiobjective optimization

Indexed keywords

GENETIC ALGORITHMS; INTEGER PROGRAMMING; MULTIOBJECTIVE OPTIMIZATION; PROBLEM SOLVING;

COMPUTATIONAL EXPERIMENTS; MIXED INTEGER PROGRAMMING; MULTIOBJECTIVE GENETIC ALGORITHM; STOCHASTIC SAMPLING;

PRINTING;

ALGORITHMS; OPTIMIZATION; PRINTING; PROBLEM SOLVING;

EID: 34047233278     PISSN: 03050548     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cor.2006.02.001     Document Type: Article

References (23)

1. Carrein C. Problème du mariage des couvertures par la méthode tabou. Dissertation (1994), Faculté Polytechnique de Mons, Belgium
2. Fasbender G. A branch & price algorithm for the book cover printing problem. Dissertation, Université Libre de Bruxelles; 2000.
3. Naya M. Problème de mariage des couvertures posé par la S.A Casterman. Dissertation (1990), Faculté Polytechnique de Mons, Belgium
4. Teghem J., Pirlot M., and Antoniadis C. Embedding of linear programming in simulated annealing for solving a mixed integer production planning problem. Journal of Computational and Applied Mathematics 64 (1995) 91-102
5. Goldberg D. Genetic algorithms in search, optimization and machine learning (1989), Addison-Wesley, Reading, MA
6. In: Glover F., and Kochenberger G.A. (Eds). Handbook of metaheuristics. Operations research management science (2003), Kluwer Academic Publishers, Dordrecht
7. El-Araby E.E., Yorino N., and Sasaki H. A two level hybrid GA/SLP for FACTS allocation problem considering voltage security. Electrical Power and Energy Systems 25 (2003) 327-335
8. Marseguerra M., Zio E., and Podofillini L. A multiobjective genetic algorithm approach to the optimization of the technical specifications of a nuclear safety system. Reliability Engineering & System Safety 84 1 (2004) 87-99
9. Cao D, Chen M. Capacitated plant selection in a decentralized manufacturing environment: a bilevel optimization approach. European Journal of Operational Research, 2006; 169 (1): 97-110.
10. Coello Coello C.A., and Mariano Romero C.E. Evolutionary algorithms and multiple objective optimization. In: Ehrgott M., and Gandibleux X. (Eds). Multiple criteria optimization, state of the art, annotated bibliographic surveys (2002), Kluwer Academic Publishers, Dordrecht
11. Abido M.A. A niched Pareto genetic algorithm for multiobjective environmental/economic dispatch. Electrical Power and Energy Systems 25 (2003) 97-105
12. Hirani H., and Suh N.P. Journal bearing design using multiobjective genetic algorithm and axiomatic design approaches. Tribology International 38 5 (2005) 481-491
13. Jurado F., and Valverde M. Enhancing the electrical performance of a solid oxide fuel cell using multiobjective genetic algorithms. Renewable Energy 30 6 (2005) 881-902
14. Coello Coello C.A., and Montes E.M. Constraint-handling in genetic algorithms through the use of dominance-based tournament selection. Advanced Engineering Informatics 16 (2002) 193-203
15. Summanwar V.S., Jayaraman V.K., Kulkarni B.D., Kusumakar H.S., Gupta K., and Rajesh J. Solution of constrained optimization problems by multi-objective genetic algorithm. Computers and Chemical Engineering 26 (2002) 1481-1492
16. Elaoud S, Loukil T, Teghem J. A Pareto fitness genetic algorithm. European Journal of Operational Research, in press, available online via www.sciencedirect.com since 18 January 2006.
17. Deb K., Pratap A., Agarwal S., and Meyarivan T. A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation 6 2 (2002) 182-197
18. Knowles J.D., and Corne D.W. Approximating the non-dominated front using the Pareto archived evolutionary strategy. Evolutionary Computation 8 (2000) 149-172
19. Coello Coello C.A. A comprehensive survey of evolutionary-based multiobjective optimization techniques. Knowledge and Information Systems: An International Journal 1 3 (1999) 269-308
20. Holland J.H. Adaptation in natural and artificial systems (1975), University of Michigan Press, Ann Arbor
21. Koksalan M., and Keha A.B. Using genetic algorithms for single-machine bicriteria scheduling problems. European Journal of Operational Research 145 (2003) 543-556
22. Boone G., and Chiang H.D. Optimal capacitor placement in distribution systems by genetic algorithm. Electrical Power and Energy Systems 15 3 (1993) 155-162
23. Pintaric Z.N., and Kravanja Z. The two-level strategy for MINLP synthesis of process flowsheets under uncertainty. Computers and Chemical Engineering 24 (2000) 195-201