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2021 | OriginalPaper | Chapter

A Variational Approach for the Determination of Continuous Pareto Frontier for Multi-objective Problems

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Abstract

In this paper, a novel approach is proposed to generate set of Pareto points to represent the optimal solutions along the Pareto frontier. This approach, which introduces a new definition of dominance, can be interpreted as a representation of the solution of the multi-objective optimization under the form of the solution of a problem in variational calculus. The method deals with both convex and non-convex problems. In order to validate the method, multi-objective numerical optimization problems are considered.

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Literature
1.
go back to reference Bez, E.T., Souza de Cursi, J., Gonçalves, M.: A hybrid method for continuous global optimization involving the representation of the solution. In: 6th World Congress on Structural and Multidisciplinary Optimization, Rio de Janeiro (2005) Bez, E.T., Souza de Cursi, J., Gonçalves, M.: A hybrid method for continuous global optimization involving the representation of the solution. In: 6th World Congress on Structural and Multidisciplinary Optimization, Rio de Janeiro (2005)
2.
go back to reference Charnes, A., Wolfe, M.: Extended pincus theorems and convergence of simulated annealing. Int J. Syst. Sci. 20(8), 1521–1533 (1989)MathSciNetMATHCrossRef Charnes, A., Wolfe, M.: Extended pincus theorems and convergence of simulated annealing. Int J. Syst. Sci. 20(8), 1521–1533 (1989)MathSciNetMATHCrossRef
3.
go back to reference Collette, Y., Siarry, P.: Multi-Objective Optimization : Principles and Case Studies. Springer, Berlin (2003)MATH Collette, Y., Siarry, P.: Multi-Objective Optimization : Principles and Case Studies. Springer, Berlin (2003)MATH
4.
go back to reference Souza de Cursi, J.: Representation of solutions in variational calculus. In: Tarocco, E., de Souza Neto, E.A., Novotny, A.A. (eds.) Variational Formulations in Mechanics: Theory and Applications, pp. 87–106. CIMNE, Barcelona (2007) Souza de Cursi, J.: Representation of solutions in variational calculus. In: Tarocco, E., de Souza Neto, E.A., Novotny, A.A. (eds.) Variational Formulations in Mechanics: Theory and Applications, pp. 87–106. CIMNE, Barcelona (2007)
5.
go back to reference Das, I., Dennis, J.: A closer look at drawbacks of minimizing weighted sums of objectives for pareto set generation in multicriteria optimization problems. Structural Optimization 14, 63–69 (1997)CrossRef Das, I., Dennis, J.: A closer look at drawbacks of minimizing weighted sums of objectives for pareto set generation in multicriteria optimization problems. Structural Optimization 14, 63–69 (1997)CrossRef
6.
go back to reference Das, I., Dennis, J.E.: Normal-boundary intersection: a new method for generating pareto optimal point in nonlinear multicriteria optimization problems. SIAM J. Optimizat. 8(3), 631–657 (1998)MATHCrossRef Das, I., Dennis, J.E.: Normal-boundary intersection: a new method for generating pareto optimal point in nonlinear multicriteria optimization problems. SIAM J. Optimizat. 8(3), 631–657 (1998)MATHCrossRef
7.
go back to reference Deb, K.: Multi-Objective Optimization Using Evolutionary Algorithms. Wiley, Hoboken (2001)MATH Deb, K.: Multi-Objective Optimization Using Evolutionary Algorithms. Wiley, Hoboken (2001)MATH
8.
go back to reference Deb, K., Agrawal, S., Pratap, A.: A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization:NSGA-II. In: Proceedings of the 6th International Conference on Parallel Problem Solving from Nature, pp. 849–858 (2000) Deb, K., Agrawal, S., Pratap, A.: A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization:NSGA-II. In: Proceedings of the 6th International Conference on Parallel Problem Solving from Nature, pp. 849–858 (2000)
9.
go back to reference Falk, J.E.: Condition for global optimization in nonlinear programming. Oper. Res. 21, 337–340 (1973)MATHCrossRef Falk, J.E.: Condition for global optimization in nonlinear programming. Oper. Res. 21, 337–340 (1973)MATHCrossRef
11.
go back to reference Messac, A., Ismail-Yahaya, A., Mattson, C.: The normalized normal constraint method for generating the pareto frontier. Struct. Multidisciplinary Optimizat. 25(2), 86–98 (2003)MathSciNetMATHCrossRef Messac, A., Ismail-Yahaya, A., Mattson, C.: The normalized normal constraint method for generating the pareto frontier. Struct. Multidisciplinary Optimizat. 25(2), 86–98 (2003)MathSciNetMATHCrossRef
12.
go back to reference Miettinen, K.: Nonlinear Multiobjective Optimization. Kluwer Academic Publishers, Dordrecht (1999)MATH Miettinen, K.: Nonlinear Multiobjective Optimization. Kluwer Academic Publishers, Dordrecht (1999)MATH
14.
go back to reference Stadler, W.: A survey of multicriteria optimization or the vector maximum problem, part I: 1776–1960. J. Optim. Theory Appl. 29(1), 1–52 (1979)MathSciNetMATHCrossRef Stadler, W.: A survey of multicriteria optimization or the vector maximum problem, part I: 1776–1960. J. Optim. Theory Appl. 29(1), 1–52 (1979)MathSciNetMATHCrossRef
15.
go back to reference Zhang, W.H., Gao, T.: A min-max method with adaptive weightings for uniformly spaced pareto optimum points. Comput. Struct. 84(28), 1760–1769 (2006). ElsevierMathSciNetCrossRef Zhang, W.H., Gao, T.: A min-max method with adaptive weightings for uniformly spaced pareto optimum points. Comput. Struct. 84(28), 1760–1769 (2006). ElsevierMathSciNetCrossRef
18.
go back to reference Zitzler, E., Deb, K., Lothar, T.: Comparison of multiobjective evolutionary algorithms: empirical results. J. Evolutionary Comput. 8(2), 173–195 (2000)CrossRef Zitzler, E., Deb, K., Lothar, T.: Comparison of multiobjective evolutionary algorithms: empirical results. J. Evolutionary Comput. 8(2), 173–195 (2000)CrossRef
19.
go back to reference Zitzler, E.: Multiobjective evolutionary algorithms: a comparative case study and the strength pareto approach. IEEE Trans. Evolutionary Comput. 3(4), 257–271 (1999)CrossRef Zitzler, E.: Multiobjective evolutionary algorithms: a comparative case study and the strength pareto approach. IEEE Trans. Evolutionary Comput. 3(4), 257–271 (1999)CrossRef
Metadata
Title
A Variational Approach for the Determination of Continuous Pareto Frontier for Multi-objective Problems
Authors
Hafid Zidani
Rachid Ellaia
Edouardo Souza De Cursi
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-030-53669-5_33