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 ,
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.
