A Symbiotic Organisms Search algorithm with adaptive penalty function to solve multi-objective constrained optimization problems

[Display omitted] •Proposed a new multi-objective Symbiotic Organisms Search algorithm.•Performance is validated on 12 unconstrained and 6 constrained problems.•The real life applications are demonstrated on constrained truss design problems. Many real world engineering optimization problems are mul...

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Bibliographic Details

Published in:	Applied soft computing Vol. 46; pp. 344 - 360
Main Authors:	Panda, Arnapurna, Pani, Sabyasachi
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.09.2016
Subjects:	Adaptive penalty function Constrained optimization MOPSO NSGA-II Symbiotic organisms search Truss design problem Adaptive penalty function MOPSO Truss design problem NSGA-II Symbiotic organisms search Constrained optimization
ISSN:	1568-4946, 1872-9681
Online Access:	Get full text
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