Abstract
Swarm intelligence enables simulation and exploration of different phenomena. In this work, it is designed a multiple swarm particles simulation algorithm (MSPSA), based on classical swarm particle interactions extended to a scenario with more than one swarm. It explicitly presents a mathematical and statistical analysis of experimental results. This MSPSA was applied to the simulation of the coffee berry borer proliferation in Colombian crops fields, representing properly the insect behavior under different factors as it happens with the diversity of the Colombian regions and climatic events during the year.
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