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» Applying Evolutionary Testing to Search for Critical Defects
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GECCO
2004
Springer
14 years 23 days ago
Towards a Generally Applicable Self-Adapting Hybridization of Evolutionary Algorithms
When applied to real-world problems, the powerful optimization tool of Evolutionary Algorithms frequently turns out to be too time-consuming due to elaborate fitness calculations t...
Wilfried Jakob, Christian Blume, Georg Bretthauer
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
14 years 1 months ago
A multi-objective approach to search-based test data generation
There has been a considerable body of work on search–based test data generation for branch coverage. However, hitherto, there has been no work on multi–objective branch covera...
Kiran Lakhotia, Mark Harman, Phil McMinn
FTCS
1998
114views more  FTCS 1998»
13 years 8 months ago
Verification of a Safety-Critical Railway Interlocking System with Real-Time Constraints
Ensuring the correctness of computer systems used in lifecritical applications is very difficult. The most commonly used verification methods, simulation and testing, are not exha...
Vicky Hartonas-Garmhausen, Sérgio Vale Agui...
CEC
2009
IEEE
14 years 2 months ago
Evolutionary programming with ensemble of explicit memories for dynamic optimization
—This paper presents the evolutionary programming with an ensemble of memories to deal with optimization problems in dynamic environments. The proposed algorithm modifies a recen...
Ling Yu, Ponnuthurai N. Suganthan
EVOW
2008
Springer
13 years 9 months ago
Improving Metaheuristic Performance by Evolving a Variable Fitness Function
In this paper we study a complex real world workforce scheduling problem. We apply constructive search and variable neighbourhood search (VNS) metaheuristics and enhance these meth...
Keshav P. Dahal, Stephen Remde, Peter I. Cowling, ...