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Non-Dominated Sorting Social Group Optimization Algorithm for Multi-Objective Optimization

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Title Non-Dominated Sorting Social Group Optimization Algorithm for Multi-Objective Optimization
 
Creator Naik, Anima
Jena, Junali Jasmine
Satapathy, Suresh Chandra
 
Subject Crowding distance
Posterior Approach
Pareto fronts
Ranks
 
Description 129-136
In this paper, authors have proposed a posterior multi-objective optimization algorithm named Non-dominated Sorting Social Group Optimization (NSSGO) for multi-objective optimization. ‘Non-dominated Sorting’ is the technique of sorting the population into several non-domination levels and ‘Crowding Distance’ is a concept used for maintaining diversity among the current best solutions. The algorithm acquires the combined concept of both. The proposed algorithm was simulated on a set of multi-objective CEC 2009 functions and competitive results were obtained.
 
Date 2021-02-04T07:36:13Z
2021-02-04T07:36:13Z
2021-02
 
Type Article
 
Identifier 0975-1084 (Online); 0022-4456 (Print)
http://nopr.niscair.res.in/handle/123456789/56130
 
Language en_US
 
Rights CC Attribution-Noncommercial-No Derivative Works 2.5 India
 
Publisher NISCAIR-CSIR, India
 
Source JSIR Vol.80(02) [February 2021]