A hybrid gene expression programming algorithm based on orthogonal design
نویسندگان
چکیده
منابع مشابه
A Hybrid Meta-Heuristic Algorithm based on Imperialist Competition Algorithm
The human has always been to find the best in all things. This Perfectionism has led to the creation of optimization methods. The goal of optimization is to determine the variables and find the best acceptable answer Due to the limitations of the problem, So that the objective function is minimum or maximum. One of the ways inaccurate optimization is meta-heuristics so that Inspired by nature, ...
متن کاملPortfolio Investment Based on Gene Expression Programming
A novel method of stock portfolio management by using technical indicators is proposed in this paper. The method hybridizes the consensus trading signals generated by the gene expression programming (GEP) proposed by Lee et al., and the portfolio redemption scheme proposed by Tsai et al. with our stock ranking functions. The indicators were used not only for trading, but also for selecting prom...
متن کاملForecasting copper price using gene expression programming
Forecasting the prices of metals is important in many aspects of economics. Metal prices are also vital variables in financial models for revenue evaluation, which forms the basis of an effective payment regime using resource policymakers. According to the severe changes of the metal prices in the recent years, the classic estimation methods cannot correctly estimate the volatility. In order to...
متن کاملA Complex Network Clustering Algorithm based on Gene Expression Programming and Information Theory
The problem of complex network clustering has been long studied and a satisfactory solution is still lack so far. By cohesion superiority of Gene Expression Programming and the information-theoretic topology compression framework, a novel algorithm, CNC-GEP, is proposed for complex network clustering. With no prior knowledge of the number of modules in networks, CNC-GEP not only determines the ...
متن کاملModeling and design of a diagnostic and screening algorithm based on hybrid feature selection-enabled linear support vector machine classification
Background: In the current study, a hybrid feature selection approach involving filter and wrapper methods is applied to some bioscience databases with various records, attributes and classes; hence, this strategy enjoys the advantages of both methods such as fast execution, generality, and accuracy. The purpose is diagnosing of the disease status and estimating of the patient survival. Method...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computational Intelligence Systems
سال: 2016
ISSN: 1875-6891,1875-6883
DOI: 10.1080/18756891.2016.1204124