Title
dPSO-vis: topology-based visualization of discrete particle swarm optimization
Abstract
Particle swarm optimization (PSO) is a metaheuristic that has been applied successfully to many continuous and combinatorial optimization problems, e.g., in the fields of economics, engineering, and natural sciences. In PSO, a swarm of particles moves within a search space in order to find an optimal solution. Unfortunately, it is hard to understand in detail why and how changes in the design of PSO algorithms affect the optimization behavior. Visualizing the particle states could provide substantially better insight into PSO algorithms. Though in case of combinatorial optimization problems, it often raises the problem of illustrating the states within the discrete search space that cannot be embedded spatially. We propose a visualization approach to depict the optimization problem topologically using a landscape metaphor. This visualization is augmented by an illustration of the time-dependent states of the particles. Thus, the user of dPSO-Vis is able to analyze the swarm's behavior within the search space. In principle, our method can be used for any optimization algorithm where a swarm of individuals searches within a discrete search space. Our approach is verified with a case study for the PSO algorithm HelixPSO that predicts the secondary structure of RNA molecules.
Year
DOI
Venue
2013
10.1111/cgf.12122
Comput. Graph. Forum
Keywords
Field
DocType
particle swarm optimization,combinatorial optimization problem,individuals search,optimization algorithm,pso algorithm,topology-based visualization,discrete particle swarm optimization,search space,optimization problem topologically,discrete search space,case study,optimization behavior
Particle swarm optimization,Derivative-free optimization,Mathematical optimization,Swarm behaviour,Computer science,Combinatorial optimization,Theoretical computer science,Multi-swarm optimization,Optimization problem,Imperialist competitive algorithm,Metaheuristic
Journal
Volume
Issue
ISSN
32
3
0167-7055
Citations 
PageRank 
References 
4
0.45
13
Authors
6
Name
Order
Citations
PageRank
S. Volke140.45
M. Middendorf259452.26
M. Hlawitschka340.45
J. Kasten4131.11
D. Zeckzer570.87
Gerik Scheuermann61382112.65