An evolutionary system for ozone concentration forecasting
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- @Article{castelli2017evolutionary,
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author = "Mauro Castelli and Ivo Goncalves and
Leonardo Trujillo and Ales Popovic",
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title = "An evolutionary system for ozone concentration
forecasting",
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journal = "Information Systems Frontiers",
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volume = "19",
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number = "5",
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pages = "1123--1132",
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year = "2017",
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month = "1 " # oct,
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keywords = "genetic algorithms, genetic programming, Evolutionary
computation, Smart cities, Forecasting, Air quality",
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ISSN = "1572-9419",
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DOI = "doi:10.1007/s10796-016-9706-2",
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publisher = "Springer",
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size = "10 pages",
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abstract = "Nowadays, with more than half of the world's
population living in urban areas, cities are facing
important environmental challenges. Among them, air
pollution has emerged as one of the most important
concerns, taking into account the social costs related
to the effect of polluted air. According to a report of
the World Health Organization, approximately seven
million people die each year from the effects of air
pollution. Despite this fact, the same report suggests
that cities could greatly improve their air quality
through local measures by exploiting modern and
efficient solutions for smart infrastructures. Ideally,
this approach requires insights of how pollutant levels
change over time in specific locations. To tackle this
problem, we present an evolutionary system for the
prediction of pollutants levels based on a recently
proposed variant of genetic programming. This system is
designed to predict the amount of ozone level, based on
the concentration of other pollutants collected by
sensors disposed in critical areas of a city. An
analysis of data related to the region of Yuen Long
(one of the most polluted areas of China), shows the
suitability of the proposed system for addressing the
problem at hand. In particular, the system is able to
predict the ozone level with greater accuracy with
respect to other techniques that are commonly used to
tackle similar forecasting problems.",
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notes = "Also known as \cite{Castelli2017}",
- }
Genetic Programming entries for
Mauro Castelli
Ivo Goncalves
Leonardo Trujillo
Ales Popovic
Citations