J. G. Ecker
Rensselaer Polytechnic Institute
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Publication
Featured researches published by J. G. Ecker.
Journal of Optimization Theory and Applications | 1980
J. G. Ecker; N. S. Hegner; Issoufou Kouada
A method for generating the entire efficient set for a multiple objective linear program is developed. The method is based on two characterizations of maximal efficient faces. The first characterization is used to determine the set of maximal efficient faces incident to a given efficient vertex, and the second characterization ensures that previously generated maximal efficient faces are easily recognized (and not regenerated). The efficient set is described as the union of maximal efficient faces. An alternate implicit description of the efficient set as the set of all optimal vectors for a finite set of linear programs is also provided.
Journal of Optimization Theory and Applications | 1994
J. G. Ecker; J. H. Song
AbstractThe problem (P) of optimizing a linear functiondTx over the efficient set for a multiple-objective linear program (M) is difficult because the efficient set is typically nonconvex. Given the objective function directiond and the set of domination directionsD, ifdTπ≧0 for all nonzero π∈D, then a technique for finding an optimal solution of (P) is presented in Section 2. Otherwise, given a current efficient point
Journal of Optimization Theory and Applications | 1975
P. A. Beck; J. G. Ecker
Journal of Optimization Theory and Applications | 1978
J. G. Ecker; R. D. Wiebking
\hat x
Journal of Optimization Theory and Applications | 1984
J. G. Ecker; M. Kupferschmid; R. S. Sacher
European Journal of Operational Research | 1982
F Cole; J. G. Ecker; Willy Gochet
, if there is no adjacent efficient edge yielding an increase indTx, then a cutting plane
Journal of Optimization Theory and Applications | 1972
J. G. Ecker
Journal of Optimization Theory and Applications | 1978
J. G. Ecker; Willy Gochet; Yves Smeers
d^T x = d^T \hat x
Engineering Optimization | 1978
J. G. Ecker; Willy Gochet; Yves Smeers
Journal of Optimization Theory and Applications | 2009
J. Glackin; J. G. Ecker; M. Kupferschmid
is used to obtain a multiple-objective linear program (