A Novel Intelligence Algorithm Based on the Social Group Optimization Behaviors

2018 ◽  
Vol 48 (1) ◽  
pp. 65-76 ◽  
Author(s):  
Xiang Feng ◽  
Yuanbo Wang ◽  
Huiqun Yu ◽  
Fei Luo
Keyword(s):  
Social Group ◽  
Intelligence Algorithm ◽  
The Social ◽  
Social Group Optimization

scholarly journals A comparative study of social group optimization with a few recent optimization algorithms

2020 ◽  
Author(s):  
Anima Naik ◽  
Suresh Chandra Satapathy
Keyword(s):  
Global Optimization ◽  
Social Group ◽  
Optimization Problems ◽  
Optimization Algorithms ◽  
Heuristic Optimization ◽  
Search Optimization ◽  
The Social ◽  
Complex Optimization ◽  
Social Group Optimization ◽  
New Algorithms

Abstract From the past few decades, the popularity of meta-heuristic optimization algorithms is growing compared to deterministic search optimization algorithms in solving global optimization problems. This has led to the development of several optimization algorithms to solve complex optimization problems. But none of the algorithms can solve all optimization problems equally well. As a result, the researchers focus on either improving exiting meta-heuristic optimization algorithms or introducing new algorithms. The social group optimization (SGO) Algorithm is a meta-heuristic optimization algorithm that was proposed in the year 2016 for solving global optimization problems. In the literature, SGO is shown to perform well as compared to other optimization algorithms. This paper attempts to compare the performance of the SGO algorithm with other optimization algorithms proposed between 2017 and 2019. These algorithms are tested through several experiments, including multiple classical benchmark functions, CEC special session functions, and six classical engineering problems etc. Optimization results prove that the SGO algorithm is extremely competitive as compared to other algorithms.

scholarly journals Binary social group optimization algorithm for solving 0-1 knapsack problem

2022 ◽  
Vol 11 (1) ◽  
pp. 55-72 ◽  
Author(s):  
Anima Naik ◽  
Pradeep Kumar Chokkalingam
Keyword(s):  
Knapsack Problem ◽  
Social Group ◽  
Optimization Problems ◽  
Continuous Optimization ◽  
High Dimensional ◽  
The Social ◽  
Social Group Optimization ◽  
Low Dimensional ◽  
Continuous Optimization Problems

In this paper, we propose the binary version of the Social Group Optimization (BSGO) algorithm for solving the 0-1 knapsack problem. The standard Social Group Optimization (SGO) is used for continuous optimization problems. So a transformation function is used to convert the continuous values generated from SGO into binary ones. The experiments are carried out using both low-dimensional and high-dimensional knapsack problems. The results obtained by the BSGO algorithm are compared with other binary optimization algorithms. Experimental results reveal the superiority of the BSGO algorithm in achieving a high quality of solutions over different algorithms and prove that it is one of the best finding algorithms especially in high-dimensional cases.

Robust image watermarking using the social group optimization algorithm

2021 ◽  
Author(s):  
Dilip Golda ◽  
B. Prabha ◽  
K. Murali ◽  
K. Prasuna ◽  
Sai Sri Vatsav ◽  
...  
Keyword(s):  
Optimization Algorithm ◽  
Social Group ◽  
Image Watermarking ◽  
The Social ◽  
Robust Image ◽  
Social Group Optimization

Modern forms of assistance to solve families difficult cases and their adolescent children

2014 ◽  
Vol 4 (1) ◽  
pp. 123-133
Author(s):  
Marzena Możdżyńska
Keyword(s):  
Adverse Event ◽  
Young People ◽  
Social Exclusion ◽  
Family Life ◽  
Social Group ◽  
Social Hierarchy ◽  
Educational Work ◽  
The Social ◽  
Difficult Cases ◽  
Complex Activities

Abstract In recent decades, we observe a significant disorganization of family life, especially in the sphere of parental functions performed by unprepared for the role emotional, socially and economically young people. Lack of education, difficulties in finding work, and the lack of prospects for positive change are the main causes of their impoverishment and progressive degradation in the social hierarchy. Reaching young people at risk of social exclusion and provide them with comprehensive care, should be a priority of modern social work and educational work. In order to provide help this social group and cope with the adverse event created a lot of programs to support systemically start in life. An example would be presented in the article KARnet 15+ program as a form of complex activities of a person stimulating subjectivity, and allows you to modify support in individual cases

Stroke Lesion Segmentation and Analysis using Entropy/Otsu’s Function – A Study with Social Group Optimization

2019 ◽  
Vol 14 (4) ◽  
pp. 305-313 ◽  
Author(s):  
Suresh Chandra Satapathy ◽  
Steven Lawrence Fernandes ◽  
Hong Lin
Keyword(s):  
Social Group ◽  
Research Work ◽  
Lesion Segmentation ◽  
Permanent Disability ◽  
Brain Abnormality ◽  
Inspection Process ◽  
Stroke Lesion ◽  
Social Group Optimization ◽  
The Brain ◽  
Otsu’S Function

Background: Stroke is one of the major causes for the momentary/permanent disability in the human community. Usually, stroke will originate in the brain section because of the neurological deficit and this kind of brain abnormality can be predicted by scrutinizing the periphery of brain region. Magnetic Resonance Image (MRI) is the extensively considered imaging procedure to record the interior sections of the brain to support visual inspection process. Objective: In the proposed work, a semi-automated examination procedure is proposed to inspect the province and the severity of the stroke lesion using the MRI. associations while known disease-lncRNA associations are required only. Method: Recently discovered heuristic approach called the Social Group Optimization (SGO) algorithm is considered to pre-process the test image based on a chosen image multi-thresholding procedure. Later, a chosen segmentation procedure is considered in the post-processing section to mine the stroke lesion from the pre-processed image. Results: In this paper, the pre-processing work is executed with the well known thresholding approaches, such as Shannon’s entropy, Kapur’s entropy and Otsu’s function. Similarly, the postprocessing task is executed using most successful procedures, such as level set, active contour and watershed algorithm. Conclusion: The proposed procedure is experimentally inspected using the benchmark brain stroke database known as Ischemic Stroke Lesion Segmentation (ISLES 2015) challenge database. The results of this experimental work authenticates that, Shannon’s approach along with the LS segmentation offers superior average values compared with the other approaches considered in this research work.</P>

Naive, connected, and counselor tween girl identity groups: Consumption practices and social identity constructions within consumer culture

2021 ◽  
pp. 146954052110160
Author(s):  
Tiziana Brenner Beauchamp Weber ◽  
Eliane C. Francisco Maffezzolli
Keyword(s):  
Social Identity ◽  
Social Identity Theory ◽  
Consumer Culture ◽  
Social Group ◽  
Social Identities ◽  
Consumer Identity ◽  
Identity Constructions ◽  
The Social ◽  
Consumption Practices ◽  
Identity Groups

This research identifies the relationship between consumption practices and the construction of social identity among tweens in a Brazilian context. Using consumer culture theory and social identity theory, we employed 80 h of observation, 9 interviews, and projective techniques with fifteen girls. Three social identity groups were acknowledged: naive, connected, and counselors. These groups revealed different identity projects, such as the integration and maintenance within the social group of current belonging, the access to the social group with the greater distinctions, the generation of differentiable and positive distinctions (both intra- and intergroups), and the expression and consolidation of identity and its respective consumption practices. This research contributes to the consumption literature that relates to consumer identity projects. The findings reveal a current resignification of girlhood and exposes tweens’ consumption practices as a direct mechanism of the expression and construction of their social identities. These are mechanisms of social identity construction as mediated by group relations through the processes of access, maintenance, integration, differentiation, and distinction.

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