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G. Tenfält

dblp:361/0466 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Mathematical optimization · 100%
Computer graphics and multimedia
1 paper
Computational fabrication · 77% Geometric modeling and processing · 23%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Mathematical optimization
combinatorial optimization
0.812024
Automatic Cable Harness Layout Routing in a Customizable 3D Environment · Comput. Aided Des. 2024
Mathematical optimization › combinatorial optimization › routing problems
routing optimization
0.812024
Automatic Cable Harness Layout Routing in a Customizable 3D Environment · Comput. Aided Des. 2024
Geometric modeling and processing › 3d scene modeling
3d room modeling
0.212024
Automatic Cable Harness Layout Routing in a Customizable 3D Environment · Comput. Aided Des. 2024

Methods — techniques the papers use, named apart from their topics

pareto front approximation · 1.5deterministic routing algorithm · 1.5
YearPublicationVenuePosition
2024 Automatic Cable Harness Layout Routing in a Customizable 3D Environment
abstract
Designing cable harnesses can be time-consuming and complex due to many design and manufacturing aspects and rules. Automating the design process can help to fulfil these rules, speed up the process, and optimize the design. To accommodate this, we formulate a harness routing optimization problem to minimize cable lengths, maximize bundling by rewarding shared paths, and optimize the cables’ spatial location with respect to case-specific information of the routing environment, e.g., zones to avoid. A deterministic and computationally effective cable harness routing algorithm has been developed to solve the routing problem and is used to generate a set of cable harness topology candidates and approximate the Pareto front. Our approach was tested against a stochastic and an exact solver and our routing algorithm generated objective function values better than the stochastic approach and close to the exact solver. Our algorithm was able to find solutions, some of them being proven to be near-optimal, for three industrial-sized 3D cases within reasonable time (in magnitude of seconds to minutes) and the computation times were comparable to those of the stochastic approach.
Tobias Karlsson, Edvin Åblad, Tomas Hermansson, Johan S. Carlson, G. Tenfält
Comput. Aided Des.5