A parallel simulated annealing algorithm for generating 3D layouts of undirected graphs

15Citations
Citations of this article
17Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

In this paper, we introduce a parallel simulated annealing algorithm for generating aesthetically pleasing straight-line drawings. The proposed algorithm calculates high quality 3D layouts of arbitrary undirected graphs. Due to the 3D layouts, structure information is presented to the human viewer at a glance. The computing time of the algorithm is reduced by a new parallel method for exploiting promising intermediate configurations. As the algorithm avoids running into a local minimum of the cost function, it is applicable for the animation of graphs of reasonably larger size than it was possible before. Subsequent to the discussion of the algorithm, empirical data for the performance of the algorithm and the quality of the generated layouts are presented.

References Powered by Scopus

Graph drawing by force‐directed placement

4664Citations
N/AReaders
Get full text

An algorithm for drawing general undirected graphs

2031Citations
N/AReaders
Get full text

Optimization by simulated annealing. An experimental evaluation. Part I. Graph partitioning

967Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Parallel global optimization with the particle swarm algorithm

322Citations
N/AReaders
Get full text

Layout of graphs with bounded tree-width

90Citations
N/AReaders
Get full text

A multi-dimensional approach to force-directed layouts of large graphs

60Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Monien, B., Ramme, F., & Salmen, H. (1996). A parallel simulated annealing algorithm for generating 3D layouts of undirected graphs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1027, pp. 396–408). Springer Verlag. https://doi.org/10.1007/bfb0021823

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 5

50%

Researcher 3

30%

Professor / Associate Prof. 2

20%

Readers' Discipline

Tooltip

Computer Science 6

67%

Decision Sciences 1

11%

Chemistry 1

11%

Sports and Recreations 1

11%

Save time finding and organizing research with Mendeley

Sign up for free