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GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
14 years 9 months ago
Superstate identification for state machines using search-based clustering
State machines are a popular method of representing a syshigh level of abstraction that enables developers to gain an overview of the system they represent and quickly understand ...
Mathew Hall, Phil McMinn, Neil Walkinshaw
GECCO
2010
Springer
155views Optimization» more  GECCO 2010»
15 years 2 months ago
Evolutionary optimization of flavors
We have acquired panelist data that provides hedonic (liking) ratings for a set of 40 flavors each composed of the same 7 ingredients at different concentration levels. Our goal...
Kalyan Veeramachaneni, Katya Vladislavleva, Matt B...
GECCO
2010
Springer
194views Optimization» more  GECCO 2010»
15 years 2 months ago
Fitting multi-planet transit models to photometric time-data series by evolution strategies
In this paper we present the application of an evolution strategy to the problem of detecting multi-planet transit events in photometric time-data series. Planetary transits occur...
Andreas M. Chwatal, Günther R. Raidl, Michael...
GECCO
2010
Springer
150views Optimization» more  GECCO 2010»
15 years 2 months ago
Towards drift correction in chemical sensors using an evolutionary strategy
Gas chemical sensors are strongly affected by the so-called drift, i.e., changes in sensors’ response caused by poisoning and aging that may significantly spoil the measures g...
Stephano Di Carlo, Ernesto Sánchez, Alberto...
GECCO
2010
Springer
189views Optimization» more  GECCO 2010»
15 years 2 months ago
Knowledge mining with genetic programming methods for variable selection in flavor design
This paper presents a novel approach for knowledge mining from a sparse and repeated measures dataset. Genetic programming based symbolic regression is employed to generate multip...
Katya Vladislavleva, Kalyan Veeramachaneni, Matt B...