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GECCO
2010
Springer
172views Optimization» more  GECCO 2010»
14 years 17 days ago
Designing better fitness functions for automated program repair
Evolutionary methods have been used to repair programs automatically, with promising results. However, the fitness function used to achieve these results was based on a few simpl...
Ethan Fast, Claire Le Goues, Stephanie Forrest, We...
EVOW
2003
Springer
14 years 29 days ago
Evolutionary Music and the Zipf-Mandelbrot Law: Developing Fitness Functions for Pleasant Music
Abstract. A study on a 220-piece corpus (baroque, classical, romantic, 12tone, jazz, rock, DNA strings, and random music) reveals that aesthetically pleasing music may be describab...
Bill Z. Manaris, Dallas Vaughan, Christopher Wagne...
DAGM
2007
Springer
14 years 1 months ago
Learning Robust Objective Functions with Application to Face Model Fitting
Abstract. Model-based image interpretation extracts high-level information from images using a priori knowledge about the object of interest. The computational challenge is to dete...
Matthias Wimmer, Sylvia Pietzsch, Freek Stulp, Ber...
EPIA
2003
Springer
14 years 1 months ago
Evolutionary Neuroestimation of Fitness Functions
Abstract. One of the most influential factors in the quality of the solutions found by an evolutionary algorithm is the appropriateness of the fitness function. Specifically in ...
Jesús S. Aguilar-Ruiz, Daniel Mateos, Domin...
GECCO
2005
Springer
146views Optimization» more  GECCO 2005»
14 years 1 months ago
An empirical study of the robustness of two module clustering fitness functions
Two of the attractions of search-based software engineering (SBSE) derive from the nature of the fitness functions used to guide the search. These have proved to be highly robust...
Mark Harman, Stephen Swift, Kiarash Mahdavi