Abstract— In our present work, we propose a nature inspired population based speech enhancement technique to find the dynamic threshold value using Teaching-Learning Based Optimization (TLBO) algorithm by using shift invariant property of dual tree complex wavelet transform (DT-CWT). The performance of these proposed methods are evaluated in terms of Perceptual Evaluation of Speech Quality (PES...

An improved teaching-learning-based optimization with combining of the social character of PSO (TLBO-PSO), which is considering the teacher's behavior influence on the students and the mean grade of the class, is proposed in the paper to find the global solutions of function optimization problems. In this method, the teacher phase of TLBO is modified; the new position of the individual is deter...

Finding the optimal number of clusters has remained to be a challenging problem in data mining research community. Several approaches have been suggested which include evolutionary computation techniques like genetic algorithm, particle swarm optimization, differential evolution etc. for addressing this issue. Many variants of the hybridization of these approaches also have been tried by resear...

The Teaching-Learning-Based Optimization (TLBO) algorithm is a new meta-heuristic algorithm which recently received more attention in various fields of science. The TLBO algorithm divided into two phases: Teacher phase and student phase; In the first phase a teacher tries to teach the student to improve the class level, then in the second phase, students increase their level by interacting amon...

In this paper, a novel Set Point Weighted Proportional Integral Derivative (SPWPID) controller has been proposed for the Magnetic levitation (Maglev) system in Simulink and real time. The recently evolved Teaching Learning Based Optimization (TLBO) has been used to identify the suitable controller parameter values by optimizing the objective function. The performance of the SPWPID controller is...

This study aims to empirically analyze teaching-learning-based optimization (TLBO) and machine learning algorithms using k-means fuzzy c-means (FCM) for their individual performance evaluation in terms of clustering classification. In the first phase, (k-means FCM) were employed independently accuracy was evaluated different computational measures. During second non-clustered data obtained from...

91 TLBO BASED SPECTRUM ALLOCATION IN COGNITIVE RADIO NETWORK Baldev Swamy*, Srinivas Bachu** & CH. Lavanya*** * M-Tech, VLSI & Embedded System, DRK Institute of Science and Technology, Hyderabad, Telangana, India ** Assistant Professor, Department of ECE, Guru Nanak Institutions Technical Campus Hyderabad, Telangana, India *** Assistant Professor, Department of ECE, DRK Institute of Science and...

1 Hybrid Clustering using Elitist Teaching Learning-Based Optimization: An Improved Hybrid Approach of TLBO D.P. Kanungo, Department of Computer Science Engineering and Information Technology, Veer Surendra Sai University of Technology (VSSUT), Odisha, India Janmenjoy Nayak, Department of Computer Science Engineering and Information Technology, Veer Surendra Sai University of Technology (VSSUT)...