Results of Evolution Supervised by Genetic Algorithms
Lorentz J\"antschi, Sorana D. Bolboac{\ba}, Mugur C. B\u{a}lan, Radu, E. Sestra\c{s}
TL;DR
This paper reviews the application of genetic algorithms to evolution in agricultural and horticultural fields, highlighting new results in structure-activity relationships.
Contribution
It presents original findings on using genetic algorithms for structure-activity relationships in relevant fields.
Findings
New results in structure-activity relationships using genetic algorithms
Application of genetic algorithms to agricultural and horticultural evolution
Review of previous and new findings in the field
Abstract
A series of results of evolution supervised by genetic algorithms with interest to agricultural and horticultural fields are reviewed. New obtained original results from the use of genetic algorithms on structure-activity relationships are reported.
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Taxonomy
TopicsEvolutionary Algorithms and Applications · Greenhouse Technology and Climate Control