Forecasting performance of regional innovation systems using semantic-based genetic programming with local search optimizer

Hajek, P., Henriques, R., Castelli, M., & Vanneschi, L. (2019). Forecasting performance of regional innovation systems using semantic-based genetic programming with local search optimizer. Computers and Operations Research, 106(June), 179-190. [advanced online on 7 February 2018]https://doi.org/...

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Bibliographic Details
Main Author: Hajek, Petr (author)
Other Authors: Henriques, Roberto (author), Castelli, Mauro (author), Vanneschi, Leonardo (author)
Format: article
Language:eng
Published: 2022
Subjects:
Forecasting
Genetic algorithms
Genetic programming
Knowledge based systems
Learning systems
Local search (optimization)
Patents and inventions
Optimization
Regional planning
Semantic WebSemantics
Technological forecasting
Computer Science(all)
Modelling and Simulation
Management Science and Operations Research
SDG 11 - Sustainable Cities and Communities
Online Access:http://hdl.handle.net/10362/145907
Country:Portugal
Oai:oai:run.unl.pt:10362/145907
Description
Summary:Hajek, P., Henriques, R., Castelli, M., & Vanneschi, L. (2019). Forecasting performance of regional innovation systems using semantic-based genetic programming with local search optimizer. Computers and Operations Research, 106(June), 179-190. [advanced online on 7 February 2018]https://doi.org/10.1016/j.cor.2018.02.001 . Doi: https://doi.org/10.1016/j.cor.2018.02.001

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