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GECCO
2009
Springer
109views Optimization» more  GECCO 2009»
15 years 6 months ago
Canonical representation genetic programming
Search spaces sampled by the process of Genetic Programming often consist of programs which can represent a function in many different ways. Thus, when the space is examined it i...
John R. Woodward, Ruibin Bai
GECCO
2009
Springer
112views Optimization» more  GECCO 2009»
15 years 6 months ago
Soft memory for stock market analysis using linear and developmental genetic programming
Recently, a form of memory usage was introduced for genetic programming (GP) called “soft memory.” Rather than have a new value completely overwrite the old value in a registe...
Garnett Carl Wilson, Wolfgang Banzhaf
GECCO
2009
Springer
156views Optimization» more  GECCO 2009»
15 years 6 months ago
Articulating user preferences in many-objective problems by sampling the weighted hypervolume
The hypervolume indicator has become popular in recent years both for performance assessment and to guide the search of evolutionary multiobjective optimizers. Two critical resear...
Anne Auger, Johannes Bader, Dimo Brockhoff, Eckart...
TABLEAUX
2009
Springer
15 years 6 months ago
A Novel Architecture for Situation Awareness Systems
Situation Awareness (SA) is the problem of comprehending elements of an environment within a volume of time and space. It is a crucial factor in decision-making in dynamic environm...
Franz Baader, Andreas Bauer 0002, Peter Baumgartne...
CEC
2007
IEEE
15 years 6 months ago
Target shape design optimization by evolving splines
Abstract— Target shape design optimization problem (TSDOP) is a miniature model for real world design optimization problems. It is proposed as a test bed to design and analyze op...
Pan Zhang, Xin Yao, Lei Jia, Bernhard Sendhoff, Th...