Jaya algorithm is an advanced optimization algorithm, which has been applied to many real-world problems. better performance in some field. However, exploration capability not better. In order enhance of the a self-adaptively commensal learning-based with multi-populations (Jaya-SCLMP) presented this paper. Jaya-SCLMP, learning strategy used increase probability finding global optimum, person h...

Jaya Prakash Dr. Elgin, Dr. Shaffer Biology 434W 10 February 2017 Finishing of DEUG4927010 Abstract The goal of this project was to prepare the DEUG4927010 contig—which covers the terminal 99,279 bases from the fourth chromosome of Drosophila eugracilis—for annotation. In the initial assembly of this project, there were 122 high quality discrepancies and 49 regions with low depth of coverage. N...

Author details Department of Nutrition & Dietetics, Faculty of Medicine and Health Sciences, University Putra Malaysia, 43400 Serdang, Selangor, Malaysia. Department of Pharmacology, Faculty of Pharmacy, Lincoln University College, No. 2, Jalan Stadium SS 7/15, Kalana Jaya, 47301 Petaling Jaya, Selangor, Malaysia. Department of Pharmacy, State University of Bangladesh, 77 Satmasjid Road, Dhanmo...

An efficient metaheuristic optimization method called Jaya Algorithm (JA) has gained wide acceptance among researchers in various engineering problems recently. The main feature of JA is that it does not use algorithm-specific parameters and a very simple formulation based on the concept approaching best solution moving away from worst solution. This study presents for design planar steel frame...

This paper is engrossed in the usage of metaheuristic optimization methods named JAYA algorithm and teacher learning based (TLBO) algorithm, which deal with objective function optimal power flow (OPF) problem. TLBO Jaya are parameter-free algorithms, reduce complexity algorithms. The this to real losses maintain voltages tap positions within their limits. IEEE-39 bus system data considered for ...

In this study, MR Image segmentation has been realized with some clustering algorithms. In the study, the performances kmeans, lloyds, llyds-kmeans, pso clustering, ga clustering and jaya optimisation algorithms on some MR images from BRATS 2012 dataset have been compared. For the comparison, the manual segmentation results of MR images from BRATS 2012 dataset have been referenced and results h...