Multi-objective seismic design optimization of steel frames by a chaotic meta-heuristic algorithm

被引：38

作者：

Gholizadeh, Saeed ^{[1
]}

Baghchevan, Amir ^{[1
]}

机构：

[1] Urmia Univ, Dept Civil Engn, POB 165, Orumiyeh, Iran

来源：

ENGINEERING WITH COMPUTERS | 2017年 / 33卷 / 04期

关键词：

Multi-objective optimization; Meta-heuristic; Firefly algorithm; Chaotic map; Performance-based design; Steel moment-resisting frame; PARTICLE SWARM OPTIMIZATION; FIREFLY ALGORITHM; NEURAL-NETWORK; OPTIMUM DESIGN; BUILDINGS; SYSTEMS;

D O I：

10.1007/s00366-017-0515-0

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this study, multi-objective optimization is applied to implement performance-based design of steel moment-resisting frame (SMRF) structures. In order to efficiently achieve this purpose, a chaotic multi-objective firefly algorithm (CMOFA) is proposed to find the Pareto optimal front for the multi-objective performance-based optimum design (MO-PBOD) problem of SMRFs. The structural weight and the maximum inter-story drift at performance levels are taken as the conflicting objective functions of the MO-PBOD problem which should be optimized simultaneously subject to serviceability and ultimate limit-state constraints. In order to illustrate the efficiency of the proposed CMOFA meta-heuristic, two benchmark truss examples and three MO-PBOD examples of SMRFs are presented. The numerical results demonstrate the better computational performance of the proposed CMOFA meta-heuristic in comparison with some existing multi-objective algorithms.

引用

页码：1045 / 1060

页数：16

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