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Applicant:
Central University of Tamil Nadu 
Author:
C.Vijayalakshmi,S.Jose 
Corresponding Authors:
C.Vijayalakshmi 
DOI #:
https://doi.org/10.1016/j.procs.2020.05.129 
Title:
Design and Analysis of Multi-Objective Optimization Problem Using Evolutionary Algorithms. 
Journal:
Procedia Computer Science-Elsevier-Science Direct 
Year:
2020 
Volume:
172 
Page:
896-899 
Keywords:
Multi-objective problem Evolutionary Algorithm MOTSP MOmSP 
Abstract:
In this paper a major amount of work has been listed regarding multi-objective optimization problem using evolutionary algorithms. From time immemorial optimization have been required in every industry for improvement of the business or other scientific results. Evolutionary algorithms is a direct search algorithm and has been applied for various mathematical models to attain optimal results because of its adaptability with the system. The aim of the study is to find a multi-objective transportation problem by using evolutionary algorithm in bipartite graph. In multi-travelling salesman problem the objective to derive the optimal sequencing schedule of a salesman which is formed as a multiple objective problem. 
Entered by:
C.Vijaya Lakshmi on 2020-09-03 
 
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