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Bibliographic Details
Main Authors: Lastra-Díaz, Juan J., Ortuño, M. Teresa
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2503.21009
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author Lastra-Díaz, Juan J.
Ortuño, M. Teresa
author_facet Lastra-Díaz, Juan J.
Ortuño, M. Teresa
contents The irregular strip-packing problem consists of the computation of a non-overlapping placement of a set of polygons onto a rectangular strip of fixed width and the minimal length possible. Recent performance gains of the Mixed-Integer Linear Programming (MILP) solvers have encouraged the proposal of exact optimization models for nesting. The Dotted-Board (DB) MILP model solves the discrete version of the nesting problem by constraining the positions of the polygons to be on a grid of fixed points. However, its number of non-overlapping constraints grows exponentially with the number of dots and types of polygons, which encouraged the proposal of a reformulation called the DB Clique Covering (DB-CC) that sets the current state-of-the-art by significantly reducing the constraints required. However, DB-CC requires a significant preprocessing time to compute edge and vertex clique coverings. Moreover, current knowledge of the stable set polytope suggests that achieving a tighter formulation is unlikely. Thus, our hypothesis is that an ad-hoc exact algorithm requiring no preprocessing might be a better option to solve the DB model than the costly Branch-and-Cut approach. This work proposes an exact branch-and-bound-and-prune algorithm to solve the DB model from the conflict inverse graph based on ad-hoc data structures, bounding, and forward-checking for pruning the search space. We introduce two 0-1 ILP DB reformulations with discrete rotations and a new lower-bound algorithm as by-products. Our experiments show that DB-PB significantly reduces the resolution time compared to our replication of the DB-CC model. Seventeen open instances are solved up to optimality.
format Preprint
id arxiv_https___arxiv_org_abs_2503_21009
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A parallel branch-and-bound-and-prune algorithm for irregular strip packing with discrete rotations
Lastra-Díaz, Juan J.
Ortuño, M. Teresa
Optimization and Control
The irregular strip-packing problem consists of the computation of a non-overlapping placement of a set of polygons onto a rectangular strip of fixed width and the minimal length possible. Recent performance gains of the Mixed-Integer Linear Programming (MILP) solvers have encouraged the proposal of exact optimization models for nesting. The Dotted-Board (DB) MILP model solves the discrete version of the nesting problem by constraining the positions of the polygons to be on a grid of fixed points. However, its number of non-overlapping constraints grows exponentially with the number of dots and types of polygons, which encouraged the proposal of a reformulation called the DB Clique Covering (DB-CC) that sets the current state-of-the-art by significantly reducing the constraints required. However, DB-CC requires a significant preprocessing time to compute edge and vertex clique coverings. Moreover, current knowledge of the stable set polytope suggests that achieving a tighter formulation is unlikely. Thus, our hypothesis is that an ad-hoc exact algorithm requiring no preprocessing might be a better option to solve the DB model than the costly Branch-and-Cut approach. This work proposes an exact branch-and-bound-and-prune algorithm to solve the DB model from the conflict inverse graph based on ad-hoc data structures, bounding, and forward-checking for pruning the search space. We introduce two 0-1 ILP DB reformulations with discrete rotations and a new lower-bound algorithm as by-products. Our experiments show that DB-PB significantly reduces the resolution time compared to our replication of the DB-CC model. Seventeen open instances are solved up to optimality.
title A parallel branch-and-bound-and-prune algorithm for irregular strip packing with discrete rotations
topic Optimization and Control
url https://arxiv.org/abs/2503.21009