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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Detalhes bibliográficos
Autor principal: Hajek, Petr (author)
Outros Autores: Henriques, Roberto (author), Castelli, Mauro (author), Vanneschi, Leonardo (author)
Formato: article
Idioma:eng
Publicado em: 2022
Assuntos:
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
Texto completo:http://hdl.handle.net/10362/145907
País:Portugal
Oai:oai:run.unl.pt:10362/145907
Descrição
Resumo: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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