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GECCO
2007
Springer
234views Optimization» more  GECCO 2007»
14 years 1 months ago
Applying particle swarm optimization to software testing
Evolutionary structural testing is an approach to automatically generating test cases that achieve high structural code coverage. It typically uses genetic algorithms (GAs) to sea...
Andreas Windisch, Stefan Wappler, Joachim Wegener
GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
14 years 2 months ago
Evolutionary optimization of multistage interconnection networks performance
The paper deals with optimization of collective communications on multistage interconnection networks (MINs). In the experimental work, unidirectional MINs like Omega, Butterfly a...
Jirí Jaros
GECCO
2005
Springer
143views Optimization» more  GECCO 2005»
14 years 1 months ago
Niching in evolution strategies
Evolutionary Algorithms (EAs), popular search methods for solving search and optimization problems, are known for successful and fast location of single optimal solutions. However,...
Ofer M. Shir, Thomas Bäck
GECCO
2010
Springer
197views Optimization» more  GECCO 2010»
13 years 11 months ago
Niching the CMA-ES via nearest-better clustering
We investigate how a niching based evolutionary algorithm fares on the BBOB function test set, knowing that most problems are not very well suited to this algorithm class. However...
Mike Preuss
EPS
1998
Springer
13 years 12 months ago
Evolutionary Algorithms for Vertex Cover
This paper reports work investigating various evolutionary approaches to vertex cover (VC), a well-known NP-Hard optimization problem. Central to each of the algorithms is a novel ...
Isaac K. Evans