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The distance geometry problem asks to find a realization of a given simple edge-weighted graph in a Euclidean space of given dimension , where the edges are realized as straight segments of lengths equal (or as close as possible) to the edge weights. The problem is often modelled as a mathematical programming formulation involving decision variables that determine the position of the vertices in the given Euclidean space. Solution algorithms are generally constructed using local or global nonlinear optimization techniques. We present a new modelling technique for this problem where, instead of deciding vertex positions, the formulations decide the length of the segments representing the edges in each cycle in the graph, projected in every dimension. We propose an exact formulation and a relaxation based on a Eulerian cycle. We then compare computational results from protein conformation instances obtained with stochastic global optimization techniques on the new cycle-based formulation and on the existing edge-based formulation. While edge-based formulations take less time to reach termination, cycle-based formulations are generally better on solution quality measures.
Liberti, Leo 1 ; Iommazzo, Gabriele 2 ; Lavor, Carlile 3 ; Maculan, Nelson 4
CC-BY 4.0
@article{OJMO_2023__4__A1_0,
author = {Liberti, Leo and Iommazzo, Gabriele and Lavor, Carlile and Maculan, Nelson},
title = {Cycle-based formulations in {Distance} {Geometry}},
journal = {Open Journal of Mathematical Optimization},
eid = {1},
pages = {1--16},
publisher = {Universit\'e de Montpellier},
volume = {4},
year = {2023},
doi = {10.5802/ojmo.18},
language = {en},
url = {http://geodesic.mathdoc.fr/articles/10.5802/ojmo.18/}
}
TY - JOUR AU - Liberti, Leo AU - Iommazzo, Gabriele AU - Lavor, Carlile AU - Maculan, Nelson TI - Cycle-based formulations in Distance Geometry JO - Open Journal of Mathematical Optimization PY - 2023 SP - 1 EP - 16 VL - 4 PB - Université de Montpellier UR - http://geodesic.mathdoc.fr/articles/10.5802/ojmo.18/ DO - 10.5802/ojmo.18 LA - en ID - OJMO_2023__4__A1_0 ER -
%0 Journal Article %A Liberti, Leo %A Iommazzo, Gabriele %A Lavor, Carlile %A Maculan, Nelson %T Cycle-based formulations in Distance Geometry %J Open Journal of Mathematical Optimization %D 2023 %P 1-16 %V 4 %I Université de Montpellier %U http://geodesic.mathdoc.fr/articles/10.5802/ojmo.18/ %R 10.5802/ojmo.18 %G en %F OJMO_2023__4__A1_0
Liberti, Leo; Iommazzo, Gabriele; Lavor, Carlile; Maculan, Nelson. Cycle-based formulations in Distance Geometry. Open Journal of Mathematical Optimization, Tome 4 (2023), article no. 1, 16 p.. doi: 10.5802/ojmo.18
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