Social Network Search for Solving Engineering Optimization Problems

Author:

Bayzidi Hadi1ORCID,Talatahari Siamak12ORCID,Saraee Meysam1ORCID,Lamarche Charles-Philippe3ORCID

Affiliation:

1. Department of Civil Engineering, University of Tabriz, Tabriz, Iran

2. Engineering Faculty, Near East University, North Cyprus, Mersin 10, Turkey

3. Department of Civil and Building Engineering, Université de Sherbrooke, Sherbrooke, Canada

Abstract

In this paper, a new metaheuristic optimization algorithm, called social network search (SNS), is employed for solving mixed continuous/discrete engineering optimization problems. 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. The SNS algorithm was verified with 14 benchmark engineering optimization problems and one real application in the field of remote sensing. The performance of the proposed method is compared with various algorithms to show its effectiveness over other well-known optimizers in terms of computational cost and accuracy. In most cases, the optimal solutions achieved by the SNS are better than the best solution obtained by the existing methods.

Funder

Natural Science and Engineering Research Council of Canada

Publisher

Hindawi Limited

Subject

General Mathematics,General Medicine,General Neuroscience,General Computer Science

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