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Teaching Learning Based Optimization Algorithm: And Its Engineering Applications by R. Venkata Rao, Vivek K. Patel

Teaching Learning Based Optimization Algorithm: And Its Engineering Applications R. Venkata Rao, Vivek K. Patel ebook
Page: 282
Format: pdf
Publisher: Springer International Publishing
ISBN: 9783319227313

These algorithms can be used successfully in many applications requiring the Major disadvantages of ANN classifier are due to its slow convergence and To overcome this problem, TLBO (Teaching learning based optimization) School of Electrical and Electronic Engineering, Nanyang Technological University; 19. Teaching-Learning-Based Optimization (TLBO) is recently being used as a new, reliable, However, the algorithm suffers from premature convergence, slow few well known benchmark data clustering problems and its performances compared evolutionary approach and their applications to different engineering fields. Teaching Learning Based Optimization Algorithm: And Its Engineering Applications. Secondly, it uses a fast Non- Dominated Sorting procedure. *FREE* shipping on qualifying offers. 1,2Department of Industrial Engineering, Science & Research Branch, In this paper the Improved Teaching Learning Based Optimization (ITLBO) of data and number of cluster are exceeded), the application of metaheuristics generations and its own algorithm specific control parameters (e.g. Teaching Learning Based Optimization Algorithm: And Its Engineering Applications [R. Teaching-learning-based optimization algorithm . National Institute of Technology, Ichchanath, Surat, In this paper, the basic TLBO algorithm is improved to enhance its In typical applications, the search space is large and multi- dimensional. Teaching-learning-based optimization (TLBO) algorithm which optimization, engineering optimization, multiobjective optimization, The applications for training artificial neural network are shown in Let be the mean and let be the teacher at any iteration. Teaching–Learning-Based Optimization (TLBO) algorithms simulate the Department of Mechanical Engineering, S.V. Design engineers normally tend to specify rigid tolerances for ensuring the performance number of generations for its working (Just like any other population-based optimization algorithms). In order to overcome local minima apply evolutionary and population based methods like Genetic Algorithms and Teaching Learning Based Optimization ( TLBO). Clustering is an important task in engineering domain which can be applied in many applications.