GECCO
2009
Springer
14 years 4 months ago
2009
Springer
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...
GECCO
2009
Springer
14 years 4 months ago
2009
Springer
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...
GECCO
2009
Springer
14 years 4 months ago
2009
Springer
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...
GECCO
2009
Springer
14 years 4 months ago
2009
Springer
GECCO
2009
Springer
14 years 4 months ago
2009
Springer
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...
GECCO
2009
Springer
14 years 4 months ago
2009
Springer
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...
GECCO
2009
Springer
14 years 4 months ago
2009
Springer
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...
GECCO
2009
Springer
14 years 4 months ago
2009
Springer
GECCO
2009
Springer
14 years 4 months ago
2009
Springer
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...
GECCO
2009
Springer
14 years 4 months ago
2009
Springer
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...