Genetic Algorithms for Accessing Engineering Performance

TL;DRAbstract

Genetic Algorithms for Accessing Engineering Performance L. Chang, L. Zhang Pages 185-190 (2002 Proceedings of the 19th ISARC, Washington, USA, ISSN 2413-5844) Abstract: The performance of engineering activities has significant impacts on the successfulness of implementing industrial construction projects. Improving engineering performance can lead to better project outcomes. Previous studies on engineering performance improvement have either focused on the use of certain techniques or products, or looked at specific engineering processes or areas. There has been a lack of a systematic and analytical approach that improves engineering performance based on the understanding of the relationships between engineering inputs and project outcomes. The paper proposes a generic model, which integrates genetic algorithms with artificial neural networks, for modeling engineering performance measurement and improvement in industrial construction projects. Due to their robust and efficient search

Chat with Paper

AI Agents for this Paper