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156
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CEC
2008
IEEE
16 years 17 days ago
Fitness functions for the unconstrained evolution of digital circuits
— This work is part of a project that aims to develop and operate integrated evolvable hardware systems using unconstrained evolution. Experiments are carried out on an evolvable...
Tüze Kuyucu, Martin Trefzer, Andrew J. Greens...
CEC
2007
IEEE
16 years 13 days ago
Non-separable fitness functions for evolutionary shape optimization benchmarking
—Target shape matching can be used as a quick and easy surrogate task when evaluating optimization algorithms intended for computationally expensive tasks, such as turbine blade ...
Tim A. Yates, Thorsten Schnier
148
Voted
ROMAN
2007
IEEE
181views Robotics» more  ROMAN 2007»
16 years 10 days ago
Efficient Articulated Model Fitting on a Single Image or a Sequence
Abstract—Models that can efficiently, compactly, and semantically represent potential users are important tools for human-robot interaction applications. We model a person as a p...
Matheen Siddiqui, Gérard G. Medioni
DAGM
2007
Springer
16 years 7 days 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...
GECCO
2005
Springer
146views Optimization» more  GECCO 2005»
15 years 11 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