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GECCO
2008
Springer
117views Optimization» more  GECCO 2008»
14 years 11 months ago
Is "best-so-far" a good algorithmic performance metric?
In evolutionary computation, experimental results are commonly analyzed using an algorithmic performance metric called best-so-far. While best-so-far can be a useful metric, its u...
Nathaniel P. Troutman, Brent E. Eskridge, Dean F. ...
GECCO
2008
Springer
141views Optimization» more  GECCO 2008»
14 years 11 months ago
Potential fitness for genetic programming
We introduce potential fitness, a variant of fitness function that operates in the space of schemata and is applicable to tree-based genetic programing. The proposed evaluation ...
Krzysztof Krawiec, PrzemysBaw Polewski
GECCO
2008
Springer
175views Optimization» more  GECCO 2008»
14 years 11 months ago
Non-genetic transmission of memes by diffusion
In recent years, there has been an increase in research activities on Memetic Algorithm (MA). MA works with memes; a meme being defined as “the basic unit of cultural transmiss...
Quang Huy Nguyen 0001, Yew-Soon Ong, Meng-Hiot Lim
COR
2008
66views more  COR 2008»
14 years 10 months ago
A multi-objective model for environmental investment decision making
Investment in landscapes to achieve outcomes that have multiple environmental benefits has become a major priority in many countries. This gives rise to opportunities for mathemat...
Andrew J. Higgins, Stefan Hajkowicz, Elisabeth N. ...
BIB
2006
141views more  BIB 2006»
14 years 10 months ago
Statistical significance in biological sequence analysis
One of the major goals of computational sequence analysis is to find sequence similarities, which could serve as evidence of structural and functional conservation, as well as of ...
Alexander Yu. Mitrophanov, Mark Borodovsky