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GECCO
2008
Springer
131views Optimization» more  GECCO 2008»
13 years 6 months ago
Rigorous analyses of fitness-proportional selection for optimizing linear functions
Rigorous runtime analyses of evolutionary algorithms (EAs) mainly investigate algorithms that use elitist selection methods. Two algorithms commonly studied are Randomized Local S...
Edda Happ, Daniel Johannsen, Christian Klein, Fran...
GECCO
2008
Springer
229views Optimization» more  GECCO 2008»
13 years 6 months ago
EIN-WUM: an AIS-based algorithm for web usage mining
With the ever expanding Web and the information published on it, effective tools for managing such data and presenting information to users based on their needs are becoming nece...
Adel Torkaman Rahmani, B. Hoda Helmi
GECCO
2008
Springer
238views Optimization» more  GECCO 2008»
13 years 6 months ago
Using multiple offspring sampling to guide genetic algorithms to solve permutation problems
The correct choice of an evolutionary algorithm, a genetic representation for the problem being solved (as well as their associated variation operators) and the appropriate values...
Antonio LaTorre, José Manuel Peña, V...
GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
13 years 6 months ago
Modularity and symmetry in computational embryogeny
Modularity and symmetry are two properties observed in almost every engineering and biological structure. The origin of these properties in nature is still unknown. Yet, as engine...
Or Yogev, Andrew A. Shapiro, Erik K. Antonsson
GECCO
2008
Springer
118views Optimization» more  GECCO 2008»
13 years 6 months ago
Deriving evaluation metrics for applicability of genetic algorithms to optimization problems
This paper aims to identify the missing links from theory of Genetic Algorithms (GAs) to application of GAs. Categories and Subject Descriptors: J.0 [Computer Applications]: Gener...
Hsinyi Jiang, Carl K. Chang
GECCO
2008
Springer
117views Optimization» more  GECCO 2008»
13 years 6 months ago
An application of a multivariate estimation of distribution algorithm to cancer chemotherapy
Alexander E. I. Brownlee, Martin Pelikan, John A. ...
GECCO
2008
Springer
112views Optimization» more  GECCO 2008»
13 years 6 months ago
Handling dynamic data structures in search based testing
There has been little attention to search based test data generation in the presence of pointer inputs and dynamic data structures, an area in which recent concolic methods have e...
Kiran Lakhotia, Mark Harman, Phil McMinn
GECCO
2008
Springer
124views Optimization» more  GECCO 2008»
13 years 6 months ago
Introducing MONEDA: scalable multiobjective optimization with a neural estimation of distribution algorithm
In this paper we explore the model–building issue of multiobjective optimization estimation of distribution algorithms. We argue that model–building has some characteristics t...
Luis Martí, Jesús García, Ant...
GECCO
2008
Springer
117views Optimization» more  GECCO 2008»
13 years 6 months ago
Non-monotone differential evolution
The Differential Evolution algorithm uses an elitist selection, constantly pushing the population in a strict downhill search, in an attempt to guarantee the conservation of the ...
Michael G. Epitropakis, Vassilis P. Plagianakos, M...