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.
- 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: