Force-directed algorithms for schematic drawings and placement: A survey. (January 2020)

• Record Type: Journal Article
• Authors: Cheong, Se-Hang; Si, Yain-Whar
• Is Part Of: Information visualization. Volume 19:Number 1(2020)
• Page Start: 65
• Page End: 91
• Publication Date: 2020-01
• Subjects: Force-directed algorithms -- schematic drawing -- force-directed placement -- information visualisation; Information visualization -- Periodicals; 006.605
• DOI: 10.1177/1473871618821740
• Languages: English
• ISSNs: 1473-8716

Abstract

Force-directed algorithms have been developed over the last 50 years and used in many application fields, including information visualisation, biological network visualisation, sensor networks, routing algorithms, scheduling, and graph drawing. Our survey provides a comprehensive summary of developments and a full roadmap for state-of-the-art force-directed algorithms in schematic drawings and placement. We classified the model of force-directed algorithms into classical and hybrid. The classical force-directed algorithms are further classified as follows: (a) accumulated force models, (b) energy function minimisation models and (c) combinatorial optimisation models. The hybrid force-directed algorithms are classified as follows: (a) parallel and hardware accelerated models, (b) multilevel force-directed models and (c) multidimensional scaling force-directed algorithms. Five categories of application domains in which force-directed algorithms have been adopted for schematic drawings and placement are also summarised: (a) aesthetic drawings for general networks, (b) component placement and scheduling in high-level synthesis of very-large-scale integration circuits design, (c) information visualisation, (d) biological network visualisation and (e) node placement and localisation for sensor networks.