43 search results - page 2 / 9 » Pareto optimal search based refactoring at the design level |
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
This paper discusses the implementation of local search in evolutionary multiobjective optimization (EMO) algorithms for the design of a simple but powerful memetic EMO algorithm. ...
TEC
2010
12 years 11 months ago
2010
Abstract--Assuming that evolutionary multiobjective optimization (EMO) mainly deals with set problems, one can identify three core questions in this area of research: (i) how to fo...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
Achieving a high quality and cost-effective tests is a major concern for software buyers and sellers. Using tools and integrating techniques to carry out low cost testing are chal...
ISICA
2007
Springer
13 years 11 months ago
2007
Springer
In this paper the authors point out that the Pareto Optimality is unfair, unreasonable and imperfect for Many-objective Optimization Problems (MOPs) underlying the hypothesis that ...
CGO
2008
IEEE
13 years 11 months ago
2008
IEEE
Modern compilers implement a large number of optimizations which all interact in complex ways, and which all have a different impact on code quality, compilation time, code size,...