ABSTRACT

Over the last decades, the number of Swarm Intelligence algorithms proposed in the literature has increased considerably. However, most algorithms do not follow an adequate scientific rigour neither the principles of Swarm Intelligence, reproducing similar computational procedures of many other approaches, but by means of a different metaphor. In this scenario, the aim of this paper is to propose a framework for the analysis and synthesis of Swarm Intelligence algorithms that can contribute to a structured understanding (analysis) and development (synthesis) of these algorithms. The main objective of the proposed framework is to guide the construction of Swarm Intelligence metaphors in a consistent and well-founded way, as well as to contribute with the analysis and development of new algorithms that had better encompass the features and abilities of insects’ societies.

摘要

在过去的几十年里，文献中提出的 Swarm Intelligence 算法的数量已经大大增加。然而，大多数算法都没有遵循足够的科学严谨性，也没有遵循 Swarm Intelligence 的原则，复制许多其他方法的类似计算过程，而是通过不同的比喻。在这种情况下，本文的目的是提出一个用于分析和合成 Swarm Intelligence 算法的框架，该框架有助于对这些算法的结构化理解（分析）和开发（合成）。拟议框架的主要目标是以一致且有根据的方式指导群体智能隐喻的构建，