Open Loop Layout Optimization: Feasible Path Planning and Exact Door-to-Door Distance Calculation

Fuente: arXiv
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Auteurs principaux: Shavarani, Seyed Mahdi, Vizvari, Bela, Gergely, Kovacs
Format: Preprint
Publié: 2025
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author Shavarani, Seyed Mahdi
Vizvari, Bela
Gergely, Kovacs
author_facet Shavarani, Seyed Mahdi
Vizvari, Bela
Gergely, Kovacs
contents The Open Loop Layout Problem (OLLP) seeks to position rectangular cells of varying dimensions on a plane without overlap, minimizing transportation costs computed as the flow-weighted sum of pairwise distances between cells. A key challenge in OLLP is to compute accurate inter-cell distances along feasible paths that avoid rectangle intersections. Existing approaches approximate inter-cell distances using centroids, a simplification that can ignore physical constraints, resulting in infeasible layouts or underestimated distances. This study proposes the first mathematical model that incorporates exact door-to-door distances and feasible paths under the Euclidean metric, with cell doors acting as pickup and delivery points. Feasible paths between doors must either follow rectangle edges as corridors or take direct, unobstructed routes. To address the NP-hardness of the problem, we present a metaheuristic framework with a novel encoding scheme that embeds exact path calculations. Experiments on standard benchmark instances confirm that our approach consistently outperforms existing methods, delivering superior solution quality and practical applicability.
format Preprint
id arxiv_https___arxiv_org_abs_2504_12792
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Open Loop Layout Optimization: Feasible Path Planning and Exact Door-to-Door Distance Calculation
Shavarani, Seyed Mahdi
Vizvari, Bela
Gergely, Kovacs
Optimization and Control
The Open Loop Layout Problem (OLLP) seeks to position rectangular cells of varying dimensions on a plane without overlap, minimizing transportation costs computed as the flow-weighted sum of pairwise distances between cells. A key challenge in OLLP is to compute accurate inter-cell distances along feasible paths that avoid rectangle intersections. Existing approaches approximate inter-cell distances using centroids, a simplification that can ignore physical constraints, resulting in infeasible layouts or underestimated distances. This study proposes the first mathematical model that incorporates exact door-to-door distances and feasible paths under the Euclidean metric, with cell doors acting as pickup and delivery points. Feasible paths between doors must either follow rectangle edges as corridors or take direct, unobstructed routes. To address the NP-hardness of the problem, we present a metaheuristic framework with a novel encoding scheme that embeds exact path calculations. Experiments on standard benchmark instances confirm that our approach consistently outperforms existing methods, delivering superior solution quality and practical applicability.
title Open Loop Layout Optimization: Feasible Path Planning and Exact Door-to-Door Distance Calculation
topic Optimization and Control
url https://arxiv.org/abs/2504.12792