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GECCO
2009
Springer
121views Optimization» more  GECCO 2009»
9 years 7 months ago
Using memetic algorithms to improve portfolio performance in static and dynamic trading scenarios
The Portfolio Optimization problem consists of the selection of a group of assets to a long-term fund in order to minimize the risk and maximize the return of the investment. This...
Claus de Castro Aranha, Hitoshi Iba
GECCO
2009
Springer
108views Optimization» more  GECCO 2009»
9 years 7 months ago
Development of combinational circuits using non-uniform cellular automata: initial results
A non-uniform cellular automata-based model is presented for the evolutionary development of digital circuits at the gate level. The main feature of this model is the modified lo...
Michal Bidlo, Zdenek Vasícek
GECCO
2009
Springer
110views Optimization» more  GECCO 2009»
9 years 7 months ago
EMO shines a light on the holes of complexity space
Typical domains used in machine learning analyses only partially cover the complexity space, remaining a large proportion of problem difficulties that are not tested. Since the ac...
Núria Macià, Albert Orriols-Puig, Es...
GECCO
2009
Springer
9 years 7 months ago
The sensitivity of HyperNEAT to different geometric representations of a problem
HyperNEAT, a generative encoding for evolving artificial neural networks (ANNs), has the unique and powerful ability to exploit the geometry of a problem (e.g., symmetries) by enc...
Jeff Clune, Charles Ofria, Robert T. Pennock
GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
9 years 7 months ago
Evolving stochastic processes using feature tests and genetic programming
The synthesis of stochastic processes using genetic programming is investigated. Stochastic process behaviours take the form of time series data, in which quantities of interest v...
Brian J. Ross, Janine H. Imada
GECCO
2009
Springer
134views Optimization» more  GECCO 2009»
9 years 7 months ago
Estimating the distribution and propagation of genetic programming building blocks through tree compression
Shin et al [19] and McKay et al [15] previously applied tree compression and semantics-based simplification to study the distribution of building blocks in evolving Genetic Progr...
Robert I. McKay, Xuan Hoai Nguyen, James R. Cheney...
GECCO
2009
Springer
9 years 7 months ago
Evolutionary hypernetwork classifiers for protein-proteininteraction sentence filtering
Jakramate Bootkrajang, Sun Kim, Byoung-Tak Zhang
GECCO
2009
Springer
169views Optimization» more  GECCO 2009»
9 years 7 months ago
An ant based algorithm for task allocation in large-scale and dynamic multiagent scenarios
This paper addresses the problem of multiagent task allocation in extreme teams. An extreme team is composed by a large number of agents with overlapping functionality operating i...
Fernando dos Santos, Ana L. C. Bazzan
GECCO
2009
Springer
107views Optimization» more  GECCO 2009»
9 years 7 months ago
Evolving distributed algorithms with genetic programming: election
In this paper, we present a detailed analysis of the application of Genetic Programming to the evolution of distributed algorithms. This research field has many facets which make...
Thomas Weise, Michael Zapf
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