标签：Search Network 搜索算法 源码 design 2021 Social 社交 SNS
社会网络搜索（SNS）是一种新型的元启发式优化算法，本文给出了其求解混合连续/离散工程优化问题的源代码。SNS算法模拟社交网络用户在表达意见时的决策情绪，以获得更多的人气。四种决策情绪，包括模仿、对话、争论和创新，是社交网络中用户的真实行为。这些情绪被用作优化操作符，模拟用户是如何受到影响并积极分享其新观点的。
在此源代码中，SNS算法用于解决以下基准问题：
1-减速器设计
2-拉伸/压缩弹簧设计
3-压力容器设计
4-三杆桁架设计问题
5-齿轮系的设计
6-悬臂梁
7-尽量减少工字梁的垂直挠度
8-管柱设计
9-活塞杆
10-波纹舱壁设计
11-汽车侧面碰撞设计
12-焊接梁设计
13-钢筋混凝土梁设计
Social Network Search (SNS) is a novel metaheuristic optimization algorithm, and its socrce code for solving mixed continuous/discrete engineering optimization problems is presented here. The SNS algorithm mimics the social network user’s efforts to gain more popularity by modeling the decision moods in expressing their opinions. Four decision moods, including Imitation, Conversation, Disputation, and Innovation are real-world behaviors of users in social networks. These moods are used as optimization operators that model how users are affected and motivated to share their new views.
Related papers:
Hadi Bayzidi, Siamak Talatahari, Meysam Saraee, Charles-Philippe Lamarche, “Social Network Search for Solving Engineering Optimization Problems”, Computational Intelligence and Neuroscience, vol. 2021, Article ID 8548639, 32 pages, 2021. https://doi.org/10.1155/2021/8548639
S. Talatahari, H. Bayzidi and M. Saraee, “Social Network Search for Global Optimization,” in IEEE Access, vol. 9, pp. 92815-92863, 2021, doi: https://doi.org/10.1109/ACCESS.2021.3091495 .
In this source code, the sns algorithm is employed for solving the following benchmark problems:
Speed reducerwelded beamCar side Impact
1 - Speed reducer design
2 - Tension/compression spring design
3 - Pressure vessel design
4 - Three-bar truss design problem
5 - Design of gear train
6 - Cantilever beam
7 - Minimize I-beam vertical deflection
8 - Tubular column design
9 - Piston lever
10 - Corrugated bulkhead design
11 - Car side impact design
12 - Design of welded beam design
13 - A reinforced concrete beam design
Cite As
Bayzidi, Hadi, et al. “Social Network Search for Solving Engineering Optimization Problems.” Computational Intelligence and Neuroscience, edited by Radu-Emil Precup, vol. 2021, Hindawi Limited, Sept. 2021, pp. 1–32, doi:10.1155/2021/8548639.
Talatahari, Siamak, et al. “Social Network Search for Global Optimization.” IEEE Access, vol. 9, Institute of Electrical and Electronics Engineers (IEEE), 2021, pp. 92815–63, doi:10.1109/access.2021.3091495.
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标签：Search,Network,搜索算法,源码,design,2021,Social,社交,SNS 来源： https://blog.csdn.net/weixin_42825609/article/details/122244734
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