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» Comparison of Multiobjective Evolutionary Algorithms: Empiri...
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GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
16 years 1 days ago
Effects of the use of non-geometric binary crossover on evolutionary multiobjective optimization
In the design of evolutionary multiobjective optimization (EMO) algorithms, it is important to strike a balance between diversity and convergence. Traditional mask-based crossover...
Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto...
CEC
2008
IEEE
16 years 11 days ago
Evolutionary Multi-objective Simulated Annealing with adaptive and competitive search direction
— In this paper, we propose a population-based implementation of simulated annealing to tackle multi-objective optimisation problems, in particular those of combinatorial nature....
Hui Li, Dario Landa Silva
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
16 years 1 days 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
ICSE
2004
IEEE-ACM
16 years 6 months ago
An Empirical Comparison of Dynamic Impact Analysis Algorithms
Impact analysis -- determining the potential effects of changes on a software system -- plays an important role in software engineering tasks such as maintenance, regression testi...
Alessandro Orso, Taweesup Apiwattanapong, James La...
GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
15 years 11 months ago
A multi-objective evolutionary approach to peptide structure redesign and stabilization
The prediction of the native structures of proteins, the socalled protein folding problem, is a NP hard multi-minima optimization problem for which to date no routine solutions ex...
Tim Hohm, Daniel Hoffmann