Generating a Representative Subset of the Nondominated Frontier in Multiple Criteria Decision Making

In this paper, we address the problem of generating a discrete representation of the nondominated frontier in multiple objective linear problems. We find a surface that approximates the shape of the nondominated frontier. Utilizing the surface, we generate a set of discrete points that is representative of the frontier. Our experience on randomly generated problems demonstrates that the approach performs well in terms of both the quality of the representation and the computation time.


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In this thesis, we study generating a subset of all nondominated points of multi-objective integer programs in order to represent the nondominated frontier. Our motivation is based on the fact that generating all nondominated points of a multi-objective integer program is neither practical nor useful. The computational burden could be prohibitive and the resulting set could be huge. Instead of finding all nondominated points, we develop algorithms to generate a small representative subset of nondominated po...
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Using the Weierstrass semigroup of a pair of distinct points of a Hermitian curve over a finite field, we construct sequences with improved high nonlinear complexity. In particular we improve the bound obtained in Niederreiter and Xing (IEEE Trans Inf Theory 60(10):6696-6701, 2014, Theorem3) considerably and the bound in Niederreiter and Xing (2014, Theorem4) for some parameters.
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Citation Formats
E. Karasakal, “Generating a Representative Subset of the Nondominated Frontier in Multiple Criteria Decision Making,” OPERATIONS RESEARCH, pp. 187–199, 2009, Accessed: 00, 2020. [Online]. Available: