Jul 17, 2014 · In this study, we intend to utilize the information extracted from the relaxed problem, to enhance the performance of the local search process.
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The findings of this study confirm that the idea of improving local search by leveraging the information induced from relaxed problem is feasible and practical, ...
The findings of this study confirm that the idea of improving local search by leveraging the information induced from relaxed problem is feasible and practical, ...
In this report, we present the complete experimental results of ALCMALANS, which is obtained by embedding Lagrangian relaxation Assisted Neighborhood.
In this study, we intend to utilize the information extracted from the relaxed problem, to enhance the performance of the local search process. Considering the ...
We develop and test a heuristic based on Lagrangian relaxation and problem space search to solve the generalized assignment problem (GAP).
Missing: Boosting | Show results with:Boosting
Boosting local search with Lagrangian relaxation. Zhilei Ren; He Jiang; Zhongxuan Luo. OriginalPaper 17 July 2014 Pages: 589 - 615. Arne Løkketangen: February 2 ...
We develop a time-index formulation and an effective Lagrangian relaxation (LR) approach with machine capacity relaxation to address the rescheduling problem.
The Lagrangian problem can thus be used in place of a linear programming relaxation to provide bounds in a branch and bound algorithm.
Missing: Boosting | Show results with:Boosting
Sep 11, 2014 · Click here to download the technical report companion with the paper "Boosting Local Search with Lagrangian Relaxation";. The corresponding ...