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.

中文翻译：

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多群粒子模拟算法在咖啡果蛀虫繁殖中的应用

群智能可以模拟和探索不同的现象。在这项工作中，根据经典的群体粒子交互作用扩展到具有多个群体的场景，设计了一种多群体粒子模拟算法（MSPSA）。它明确提出了实验结果的数学和统计分析。该MSPSA被用于模拟哥伦比亚农作物田中的浆果浆果bore的繁殖，适当地代表了昆虫因素在不同因素下的行为，因为它随一年中哥伦比亚地区的多样性和气候事件而发生。