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The Power of the Weighted Sum Scalarization for ...
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由 C Bazgan 著作被引用 18 次 — The weighted sum scalarization is the most frequently used method to transform a multiobjective into a single objective optimization problem. In ...
The Power of the Weighted Sum Scalarization for ...
arXiv
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由 C Bazgan 著作2019被引用 18 次 — Abstract:We determine the power of the weighted sum scalarization with respect to the computation of approximations for general ...
The Power of the Weighted Sum Scalarization for ...
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由 C Bazgan 著作2022被引用 18 次 — Obtaining general approximation methods for multiobjective maximization prob- lems using the weighted sum scalarization seems to be much harder ...
(PDF) The Power of the Weighted Sum Scalarization for ...
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2021年11月22日 — We determine the power of the weighted sum scalarization with respect to the computation of approximations for general multiobjective ...
The Power of the Weighted Sum Scalarization for ...
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We determine the power of the weighted sum scalarization with respect to the computation of approximations for general multiobjective minimization and ...
[PDF] The Power of the Weighted Sum Scalarization for ...
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The power of the weighted sum scalarization is determined with respect to the computation of approximations for general multiobjective minimization and ...
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arXiv:1908.01181v3 [cs.DS] 8 Nov 2020
arXiv
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arXiv
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由 C Bazgan 著作2019被引用 18 次 — In summary, our results yield essentially tight bounds on the power of the weighted sum scalarization with respect to the approximation of ...
Using scalarizations for the approximation of multiobjective ...
Springer
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由 S Helfrich 著作2023被引用 7 次 — A scalarization is a technique to systematically transform a multiobjective optimization problem into single-objective optimization problems ...
Weighted Sum Method - an overview
ScienceDirect.com
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The weighted sum method combines all the multi-objective functions into one scalar, composite objective function using the weighted sum.
Efficiently Constructing Convex Approximation Sets in ...
INFORMS PubsOnline
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INFORMS PubsOnline
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2024年11月4日 — In this article, we propose a polynomial-time algorithm to compute convex approximation sets that builds on an exact or approximate algorithm ...
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