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GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
15 years 6 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
EC
2008
146views ECommerce» more  EC 2008»
14 years 12 months ago
Automated Discovery of Local Search Heuristics for Satisfiability Testing
The development of successful metaheuristic algorithms such as local search for a difficult problems such as satisfiability testing (SAT) is a challenging task. We investigate an ...
Alex S. Fukunaga
ACAL
2009
Springer
15 years 6 months ago
Multivesicular Assemblies as Real-World Testbeds for Embryogenic Evolutionary Systems
Embryogenic evolution emulates in silico cell-like entities to get more powerful methods for complex evolutionary tasks. As simulations have to from the biological model, implicit ...
Maik Hadorn, Peter Eggenberger Hotz
ISDA
2008
IEEE
15 years 6 months ago
Multimodal Medical Image Registration Using Particle Swarm Optimization
In image guided surgery, the registration of preand intra-operative image data is an important issue. In registrations, we seek an estimate of the transformation that registers th...
Yen-Wei Chen, Chen-Lun Lin, Aya Mimori
GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
15 years 3 months ago
Adaptive evolution: an efficient heuristic for global optimization
This paper presents a novel evolutionary approach to solve numerical optimization problems, called Adaptive Evolution (AEv). AEv is a new micro-population-like technique because i...
Francisco Viveros Jiménez, Efrén Mez...