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KŮDELA, J.; POPELA, P.
Original Title
Warm-start Cuts for Generalized Benders Decomposition
English Title
Type
WoS Article
Original Abstract
In this paper, we describe a decomposition algorithm suitable for two-stage convex stochastic programs known as Generalized Benders Decomposition. For this algorithm we propose a new reformulation that incorporates a lower bound cut that serves as a warm-start, decreasing the overall computation time. Additionally, we test the performance of the proposed reformulation on two modifications of the algorithm (bunching and multicut) using numerical examples. The numerical part is programmed in MATLAB and uses state-of-the-art conic solvers.
English abstract
Keywords
stochastic programming, Generalized Benders Decomposition, L-shaped method, warm{start
Key words in English
Authors
RIV year
2018
Released
31.12.2017
Publisher
UTIA
Location
Prague
ISBN
0023-5954
Periodical
KYBERNETIKA
Volume
53
Number
6
State
Czech Republic
Pages from
1012
Pages to
1025
Pages count
13
BibTex
@article{BUT142260, author="Jakub {Kůdela} and Pavel {Popela}", title="Warm-start Cuts for Generalized Benders Decomposition", journal="KYBERNETIKA", year="2017", volume="53", number="6", pages="1012--1025", doi="10.14736/kyb-2017-6-1012", issn="0023-5954" }