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88
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GD
2009
Springer
15 years 5 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...
106
Voted
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
15 years 5 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
118
Voted
GECCO
2009
Springer
172views Optimization» more  GECCO 2009»
15 years 5 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 5 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
110
Voted
GECCO
2009
Springer
159views Optimization» more  GECCO 2009»
15 years 5 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...