Combining Diffusion Models and Macroeconomic Indicators with a Modified Genetic Programming Method: Implementation in Forecasting the Number of Mobile Telecommunications Subscribers in OECD Countries

  title={Combining Diffusion Models and Macroeconomic Indicators with a Modified Genetic Programming Method: Implementation in Forecasting the Number of Mobile Telecommunications Subscribers in OECD Countries},
  author={Konstantinos Salpasaranis and Vasilios Stylianakis and Stavros A. Kotsopoulos},
  journal={Adv. Oper. Res.},
This paper proposes a modified Genetic Programming method for forecasting the mobile telecommunications subscribers’ population. The method constitutes an expansion of the hybrid Genetic Programming (hGP) method improved by the introduction of diffusion models for technological forecasting purposes in the initial population, such as the Logistic, Gompertz, and Bass, as well as the Bi-Logistic and LogInLog. In addition, the aforementioned functions and models expand the function set of hGP. The… 

Forecasting the OECD Fixed Broadband Penetration with Genetic Programming Method, Diffusion Models and Macro-Economic Indicators

The specific GP method combines the use of known diffusion models for technological forecasting purposes, such as Logistic, Gompertz and Bass and the GP, to produce both time dependant and causal models with high performance statistical indicators.

Forecasting Models of the Coronavirus (COVID-19) Cumulative Confirmed Cases Using a Hybrid Genetic Programming Method

The coronavirus disease 2019 (COVID-19) diffusion process, starting in China, caused more than 4600 lives until June 2020 and became a major threat to global public health systems. In Greece, the



A Hybrid Genetic Programming Method in Optimization and Forecasting: A Case Study of the Broadband Penetration in OECD Countries

The introduction of a hybrid genetic programming method (hGP) in fitting and forecasting of the broadband penetration data is proposed, and the hGP manages to generate solutions with high-performance statistical indicators.

A new empirical model for short-term forecasting of the broadband penetration: a short research in Greece

The objective of this paper is to present a short research about the overall broadband penetration in Greece. In this research, a new empirical deterministic model is proposed for the short-term

Collective Intelligence of Genetic Programming for Macroeconomic Forecasting

A collective approach to the problem of developing forecasts for macroeconomic indicators is presented and it is proposed to use a collective intelligence to develop not only one forecasting model, but a set of models, from which the most suitable one can be chosen automatically or manually by the decision-maker.

Binomial innovation diffusion models with dynamic potential adopter population

A New Product Growth for Model Consumer Durables

A growth model for the timing of initial purchase of new products is developed and tested empirically against data for eleven consumer durables, and a long-range forecast is developed for the sales of color television sets.

Genetic programming - on the programming of computers by means of natural selection

  • J. Koza
  • Computer Science
    Complex adaptive systems
  • 1993
This book discusses the evolution of architecture, primitive functions, terminals, sufficiency, and closure, and the role of representation and the lens effect in genetic programming.

Genetic Programming: An Introduction and Tutorial, with a Survey of Techniques and Applications

This chapter introduces genetic programming (GP) a set of evolutionary computation techniques for getting computers to automatically solve problems without having to tell them explicitly how to do


This paper investigates the factors determining how rapidly the use of a new technique spreads from one firm to another. A simple model is presented to help explain differences among innovations in