A hybrid genetic algorithm for constrained multi-objective optimization under uncertainty and target matching problems

• Main Authors: Wang, N. F., Zhang, X. M., Yang, Y. W.
• 其他作者: School of Civil and Environmental Engineering
• 格式: Article
• 語言: English
• 出版: 2013
• 主題: DRNTU::Engineering::Civil engineering
• 在線閱讀: https://hdl.handle.net/10356/102654; http://hdl.handle.net/10220/16868
• 機構: Nanyang Technological University

This work presents a new approach for interval-based uncertainty analysis. The proposed approach integrates a local search strategy as the worst-case-scenario technique of anti-optimization with a constrained multi-objective genetic algorithm. Anti-optimization is a term for an approach to safety fa...