review · Results in Engineering
Metaheuristic optimisation algorithms offer significant capabilities for solving complex, multidimensional problems across various domains. While these techniques are increasingly applied to practical engineering challenges, they frequently encounter obstacles when deployed in real-world scenarios. A key limitation in the field is the absence of an established standard for assessing algorithmic performance under realistic conditions. To address these issues, recent research has evaluated the deployment of metaheuristic tools specifically within electrical and civil engineering. The primary focus of these investigations centres on extracting parameters and optimising complex models. A comprehensive review of these applications highlights how these computational approaches function when handling intricate engineering requirements, while also underscoring the ongoing necessity for systematic evaluation frameworks to ensure consistent performance in practical settings.
Engineers frequently encounter multidimensional challenges that require fine-tuning complex systems and extracting accurate parameters. Metaheuristic algorithms provide effective computational tools to solve these design and operational problems. However, because standard methods to judge performance are lacking, clearer evaluation helps engineers and researchers select the most reliable computational tools for demanding physical infrastructure and power systems.
These computational techniques target practitioners and software developers working on model optimisation and parameter extraction within electrical and civil engineering. Because the underlying algorithms face implementation difficulties in real-world scenarios and lack established evaluation benchmarks, this work represents early-stage conceptual review. Practical adoption will depend on establishing standard evaluation protocols before these tools can be integrated reliably into commercial engineering design software.
AI-generated from the published abstract. Always read the original work before citing.
Metaheuristic optimization algorithms (MOAs) are gaining increasing interest because of their exceptional effectiveness in addressing many optimization issues. Nevertheless, these algorithms often face difficulties when used to solve real-world problems, necessitating further evaluation of these algorithms that are used to solve real-world problems. In addition, there is currently no established standard for evaluating algorithmic performance. MOAs successfully address engineering challenges due to their inherent complexity and multidimensional character. Several studies have explored the use of these algorithms to tackle electrical and civil engineering problems, highlighting their practical importance. This study thoroughly examined the most recent papers on electrical and civil engineering topics, specifically focusing on the extraction of parameters and optimization of models.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.1016/j.rineng.2024.102437
Is something wrong with this record? Report it or request removal.
Discussion
Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.
No discussion yet. Open the first thread.
New to MARATTO™? Create a free account.
