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Nonlinear Inertia Weighted Teaching-Learning-Based Optimization for Solving Global Optimization Problem
Joint Authors
Wu, Zong-Sheng
Fu, Wei-Ping
Xue, Ru
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-09-02
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Teaching-learning-based optimization (TLBO) algorithm is proposed in recent years that simulates the teaching-learning phenomenon of a classroom to effectively solve global optimization of multidimensional, linear, and nonlinear problems over continuous spaces.
In this paper, an improved teaching-learning-based optimization algorithm is presented, which is called nonlinear inertia weighted teaching-learning-based optimization (NIWTLBO) algorithm.
This algorithm introduces a nonlinear inertia weighted factor into the basic TLBO to control the memory rate of learners and uses a dynamic inertia weighted factor to replace the original random number in teacher phase and learner phase.
The proposed algorithm is tested on a number of benchmark functions, and its performance comparisons are provided against the basic TLBO and some other well-known optimization algorithms.
The experiment results show that the proposed algorithm has a faster convergence rate and better performance than the basic TLBO and some other algorithms as well.
American Psychological Association (APA)
Wu, Zong-Sheng& Fu, Wei-Ping& Xue, Ru. 2015. Nonlinear Inertia Weighted Teaching-Learning-Based Optimization for Solving Global Optimization Problem. Computational Intelligence and Neuroscience،Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1057680
Modern Language Association (MLA)
Wu, Zong-Sheng…[et al.]. Nonlinear Inertia Weighted Teaching-Learning-Based Optimization for Solving Global Optimization Problem. Computational Intelligence and Neuroscience No. 2015 (2015), pp.1-15.
https://search.emarefa.net/detail/BIM-1057680
American Medical Association (AMA)
Wu, Zong-Sheng& Fu, Wei-Ping& Xue, Ru. Nonlinear Inertia Weighted Teaching-Learning-Based Optimization for Solving Global Optimization Problem. Computational Intelligence and Neuroscience. 2015. Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1057680
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057680