In the last years, one of the fields of artificial intelligence that has been
investigated the most is nature-inspired computing. The research done on this
specific topic showcases the interest that sparks in researchers and
practitioners, who put their focus on this paradigm because of the adaptability
and ability of nature-inspired algorithms to reach high-quality outcomes on a
wide range of problems. In fact, this kind of methods has been successfully
applied to solve real-world problems in heterogeneous fields such as medicine,
transportation, industry, or software engineering. Our main objective with this
paper is to describe a tool based on nature-inspired computing for solving a
specific software engineering problem. The problem faced consists of optimizing
Infrastructure as Code deployment configurations. For this reason, the name of
the system is IaC Optimizer Platform. A prototypical version of the IOP was
described in previous works, in which the functionality of this platform was
introduced. With this paper, we take a step forward by describing the final
release of the IOP, highlighting its main contribution regarding the current
state-of-the-art, and justifying the decisions made on its implementation.
Also, we contextualize the IOP within the complete platform in which it is
embedded, describing how a user can benefit from its use. To do that, we also
present and solve a real-world use case.

基于自然启发计算的工具用于解决软件工程问题，介绍了 IaC Optimizer 平台的最终版本，其主要贡献以及实现决策，并展示了一个真实世界的用例。