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84
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ISSRE
2008
IEEE
15 years 5 months ago
Automated Generation of Pointcut Mutants for Testing Pointcuts in AspectJ Programs
Aspect-Oriented Programming (AOP) provides new modularization of software systems by encapsulating crosscutting concerns. AspectJ, an AOP language, uses abstractions such as point...
Prasanth Anbalagan, Tao Xie
GECCO
2008
Springer
192views Optimization» more  GECCO 2008»
14 years 12 months ago
Non-linear factor model for asset selection using multi objective genetic programming
Investors vary with respect to their expected return and aversion to associated risk, and hence also vary in their performance expectations of the stock market portfolios they hol...
Ghada Hassan
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 4 months ago
Learned mutation strategies in genetic programming for evolution and adaptation of simulated snakebot
In this work we propose an approach of incorporating learned mutation strategies (LMS) in genetic programming (GP) employed for evolution and adaptation of locomotion gaits of sim...
Ivan Tanev
89
Voted
JMLR
2006
145views more  JMLR 2006»
14 years 10 months ago
Ensemble Pruning Via Semi-definite Programming
An ensemble is a group of learning models that jointly solve a problem. However, the ensembles generated by existing techniques are sometimes unnecessarily large, which can lead t...
Yi Zhang 0006, Samuel Burer, W. Nick Street
GECCO
2004
Springer
15 years 4 months ago
On the Strength of Size Limits in Linear Genetic Programming
Abstract. Bloat is a common and well studied problem in genetic programming. Size and depth limits are often used to combat bloat, but to date there has been little detailed explor...
Nicholas Freitag McPhee, Alex Jarvis, Ellery Fusse...