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

• المؤلفون الرئيسيون: Wang, N. F., Zhang, X. M., Yang, Y. W.
• مؤلفون آخرون: School of Civil and Environmental Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2013
• الموضوعات: DRNTU::Engineering::Civil engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/102654; http://hdl.handle.net/10220/16868

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...