论文标题

使用带电的系统搜索进行地震载荷的双弯曲拱形大坝的多目标优化

Multi-objective optimization of double curvature arch dams subjected to seismic loading using charged system search

论文作者

Talatahari, S., Aalami, M. T., Parsiavash, R.

论文摘要

本文提出了用于优化拱形大坝的多目标配方。目的是同时最大程度地减少大坝体的混凝土体积和应力状态。多目标问题不是单个设计,而是提供了一组帕累托解决方案,其中决策者方法可以根据其偏好选择最佳答案。为了解决这个新问题,还开发了一个多目标充电的系统搜索作为有效的元热疗法。所提出的算法在实际尺寸的双曲率拱形大坝上进行评估。计算结果表明,与现有的Arch DAM优化算法相比,所提出的方法具有很高的竞争力。

This paper presents a multi-objective formulation for optimization of arch dams. The objective is to simultaneously minimize the concrete volume and stress state of the dam body. Instead of a single design, the multi-objective problem provides a set of Pareto solutions in which a decision maker approach can select best answer according to its preferences. To solve this new problem, a multi-objective charged system search as an efficient meta-heuristic is also developed. The proposed algorithm is evaluated on a real-size double curvature arch dam. The computational results show that the proposed methodology is highly competitive with existing arch dam optimization algorithms.

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