@conference {722,
	title = {Coarse-Graining Large Search Landscapes using Massive Edge Collapse},
	booktitle = {Topology-Based Methods in Visualization 2017},
	year = {2017},
	author = {Sebastian Volke and Martin Middendorf and Gerik Scheuermann}
}
@inbook {702,
	title = {Visualizing Topological Properties of the Search Landscape of Combinatorial Optimization Problems},
	booktitle = {Topological Methods in Data Analysis and Visualization IV: Theory, Algorithms, and Applications},
	year = {2017},
	month = {04/2017},
	pages = {69-85},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	isbn = {ISBN 978-3-319-44684-4},
	doi = {10.1007/978-3-319-44684-4_4},
	author = {Sebastian Volke and Dirk Zeckzer and Martin Middendorf and Gerik Scheuermann}
}
@proceedings {650,
	title = {A Visual Method for Analysis and Comparison of Search Landscapes},
	year = {2015},
	month = {07/2015},
	pages = {497--504},
	publisher = {ACM},
	address = {Madrid, Spain},
	doi = {10.1145/2739480.2754733},
	author = {Sebastian Volke and Dirk Zeckzer and Gerik Scheuermann and Martin Middendorf}
}
@inbook {621,
	title = {Comparing the Optimization Behaviour of Heuristics with Topology Based Visualization},
	booktitle = {Theory and Practice of Natural Computing},
	series = {Lecture Notes in Computer Science},
	volume = {8890},
	year = {2014},
	pages = {47-58},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	keywords = {visualization; fitness landscape; combinatorial optimization problem; barrier landscape; heuristic; optimization behaviour},
	issn = {978-3-319-13748-3},
	doi = {10.1007/978-3-319-13749-0_5},
	url = {http://dx.doi.org/10.1007/978-3-319-13749-0_5},
	author = {Simon Bin and Sebastian Volke and Gerik Scheuermann and Martin Middendorf}
}
@inbook {553,
	title = {Visual Analysis of Discrete Particle Swarm Optimization Using Fitness 	Landscapes},
	booktitle = {Recent Advances in the Theory and Application of Fitness Landscapes},
	volume = {6},
	number = {Emergence, Complexity and Computation},
	year = {2014},
	pages = {487 - 507},
	publisher = {Springer},
	organization = {Springer},
	edition = {Hendrik Richter and Andries Engelbrecht},
	address = {Berlin, Heidelberg},
	issn = {978-3-642-41887-7},
	doi = {10.1007/978-3-642-41888-4_17},
	url = {http://dx.doi.org/10.1007/978-3-642-41888-4_17},
	author = {Sebastian Volke and Simon Bin and Dirk Zeckzer and Martin Middendorf and Gerik Scheuermann}
}
@article {527,
	title = {dPSO-Vis: Topology-based Visualization of Discrete Particle Swarm Optimization},
	journal = {Computer Graphics Forum},
	volume = {32},
	year = {2013},
	pages = {351-360},
	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, but in case of combinatorial optimization problems, it raises the problem of illustrating the discrete states that cannot easily be embedded spatially. We propose a visualization approach to analyze the optimization problem topologically using a landscape metaphor. Therefore, we transform the configuration space of the optimization problem into a barrier landscape that is topologically equivalent. This visualization is augmented by an illustration of the time-dependent states of the particles. The user of our tool {\textemdash} called dPSO-Vis {\textemdash} is able to analyze the swarm{\textquoteright}s behavior within the search space. We illustrate our approach with a brief analysis of a PSO algorithm that predicts the secondary structure of RNA molecules.},
	author = {Sebastian Volke and Martin Middendorf and Mario Hlawitschka and Jens Kasten and Dirk Zeckzer and Gerik Scheuermann}
}
