Shape, Size and topology optimization of double layer grid structures using HGSAPSO algorithm

سال انتشار: 1397
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 450

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شناسه ملی سند علمی:

CAUM01_0380

تاریخ نمایه سازی: 25 اردیبهشت 1398

چکیده مقاله:

In this study, a hybrid Gravitational search algorithm (GSA) and particle swarm optimization (PSO) algorithm (HGSAPSO) is proposed to simultaneously optimize size, topology and shape of double layer grid structures. In HGSAPSO, in each iteration, there are good and bad agents in each group. The best agents are selected as a group leader and other agents are randomly located in these groups. In each group every agent has position and velocity that the group leader determines agent’s new position using the Newtonian gravity and the laws of motion. In proposed hybrid algorithm it is attempted to eliminate the defects of the PSO and GSA and improve their performance in optimization. HGSAPSO has been compared with some well-known heuristic search methods such as GSA through three examples. The obtained results confirm the high performance of the proposed algorithm in solving various problems.

نویسندگان

خاطره سلطانی

Department of Civil Engineering, Kerman Azad University, Kerman, Iran

Saeed Shojaee

Department of Civil Engineering, Shahid Bahonar University, Kerman, Iran,