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2009
Springer
15 years 10 months ago
Manhattan-Geodesic Embedding of Planar Graphs
In this paper, we explore a new convention for drawing graphs, the (Manhattan-) geodesic drawing convention. It requires that edges are drawn as interior-disjoint monotone chains o...
Bastian Katz, Marcus Krug, Ignaz Rutter, Alexander...
168
Voted
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
15 years 10 months ago
TestFul: using a hybrid evolutionary algorithm for testing stateful systems
This paper introduces TestFul, a framework for testing stateful systems and focuses on object-oriented software. TestFul employs a hybrid multi-objective evolutionary algorithm, t...
Matteo Miraz, Pier Luca Lanzi, Luciano Baresi
GECCO
2009
Springer
172views Optimization» more  GECCO 2009»
15 years 10 months ago
Comparison of similarity measures for the multi-objective vehicle routing problem with time windows
The Vehicle Routing Problem can be seen as a fusion of two well known combinatorial problems, the Travelling Salesman Problem and Bin Packing Problem. It has several variants, the...
Abel Garcia-Najera, John A. Bullinaria
GECCO
2009
Springer
119views Optimization» more  GECCO 2009»
15 years 10 months ago
Cooperative micro-differential evolution for high-dimensional problems
High–dimensional optimization problems appear very often in demanding applications. Although evolutionary algorithms constitute a valuable tool for solving such problems, their ...
Konstantinos E. Parsopoulos
GECCO
2009
Springer
159views Optimization» more  GECCO 2009»
15 years 10 months ago
Bayesian network structure learning using cooperative coevolution
We propose a cooperative-coevolution – Parisian trend – algorithm, IMPEA (Independence Model based Parisian EA), to the problem of Bayesian networks structure estimation. It i...
Olivier Barrière, Evelyne Lutton, Pierre-He...