Title of article
Improved symbiotic organisms search algorithm for solving unconstrained function optimization
Author/Authors
Nama، Sukanta نويسنده Department of Mathematics, National Institute of Technology Agartala, Jirania, Agartala, Tripura-799046, India , , Saha، Apu Kumar نويسنده Department of Mathematics, National Institute of Technology Agartala, Jirania, Agartala, Tripura-799046, India , , Ghosh، Sima نويسنده Department of Civil Engineering, National Institute of Technology Agartala, Jirania, Agartala, Tripura-799046, India ,
Issue Information
فصلنامه با شماره پیاپی 17 سال 2016
Pages
20
From page
361
To page
380
Abstract
Recently, Symbiotic Organisms Search (SOS) algorithm is being used for solving complex problems of optimization. This paper proposes an Improved Symbiotic Organisms Search (I-SOS) algorithm for solving different complex unconstrained global optimization problems. In the improved algorithm, a random weighted reflective parameter and predation phase are suggested to enhance the performance of the algorithm. The performances of this algorithm are compared with the other state-of-the-art algorithms. The parametric study of the common control parameter has also been performed.
Journal title
Decision Science Letters
Serial Year
2016
Journal title
Decision Science Letters
Record number
2386168
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