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» Time Series Forecasting by means of Evolutionary Algorithms
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GECCO
2008
Springer
136views Optimization» more  GECCO 2008»
13 years 8 months ago
On the genetic programming of time-series predictors for supply chain management
Single and multi-step time-series predictors were evolved for forecasting minimum bidding prices in a simulated supply chain management scenario. Evolved programs were allowed to ...
Alexandros Agapitos, Matthew Dyson, Jenya Kovalchu...
TFS
2008
157views more  TFS 2008»
13 years 7 months ago
Efficient Self-Evolving Evolutionary Learning for Neurofuzzy Inference Systems
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
Cheng-Jian Lin, Cheng-Hung Chen, Chin-Teng Lin
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
14 years 1 months ago
ECGA vs. BOA in discovering stock market trading experts
This paper presents two evolutionary algorithms, ECGA and BOA, applied to constructing stock market trading expertise, which is built on the basis of a set of specific trading ru...
Piotr Lipinski
ESM
2000
13 years 9 months ago
An analysis of the LRE-Algorithm using Sojourn times
The classical method of evaluation of simulations surely is the batch means method, see e.g. [Bratley et al. 1987], giving confidence intervals to express the precision of the sim...
Norbert Th. Müller
GECCO
2003
Springer
415views Optimization» more  GECCO 2003»
14 years 26 days ago
Evolutionary Algorithms for Two Problems from the Calculus of Variations
Abstract. A brachistochrone is the path along which a weighted particle falls most quickly from one point to another, and a catenary is the smooth curve connecting two points whose...
Bryant A. Julstrom