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GECCO
2006
Springer
158views Optimization» more  GECCO 2006»
15 years 9 months ago
Properties of symmetric fitness functions
The properties of symmetric fitness functions are investigated. We show that a well-known encoding scheme inducing symmetric functions has the non-synonymous property and the sear...
Sung-Soon Choi, Yung-Keun Kwon, Byung Ro Moon
NIPS
2007
15 years 6 months ago
A General Boosting Method and its Application to Learning Ranking Functions for Web Search
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier C...
CEC
2010
IEEE
15 years 3 months ago
Large scale global optimization using self-adaptive differential evolution algorithm
In this paper we present self-adaptive differential evolution algorithm jDElsgo on large scale global optimization. The experimental results obtained by our algorithm on benchmark ...
Janez Brest, Ales Zamuda, Iztok Fister, Mirjam Sep...
JOI
2007
99views more  JOI 2007»
15 years 5 months ago
Measuring quality of similarity functions in approximate data matching
This paper presents a method for assessing the quality of similarity functions. The scenario taken into account is that of approximate data matching, in which it is necessary to d...
Roberto da Silva, Raquel Kolitski Stasiu, Viviane ...
GECCO
2003
Springer
148views Optimization» more  GECCO 2003»
15 years 10 months ago
Structural and Functional Sequence Test of Dynamic and State-Based Software with Evolutionary Algorithms
Evolutionary Testing (ET) has been shown to be very successful for testing real world applications [10]. The original ET approach focusesonsearching for a high coverage of the test...
André Baresel, Hartmut Pohlheim, Sadegh Sad...