Toward Teaching-Learning-Based Optimization Algorithm for Dealing with Real-Parameter Optimization Problems
- DOI
- 10.2991/iccsee.2013.155How to use a DOI?
- Keywords
- Teaching-Learning-Based Optimization, clustering, multi-objective optimization
- Abstract
A latest optimization algorithm, named Teaching- Learning-Based Optimization (simply TLBO) was proposed by R. V. Rao et al, at 2011. Afterwards, some improvements and practical applications have been conducted toward TLBO algorithm. However, as far as our knowledge, there are no such works which categorize the current works concerning TLBO from the algebraic and analytic points of view. Hence, in this paper we firstly introduce the concepts and algorithms of TLBO, then survey the running mechanism of TLBO for dealing with the real-parameter optimization problems, and finally group its realworld applications with a categorizing framework based on the clustering, multi-objective optimization, parameter optimization, and structure optimization. The main advantage of this work is to help the users employ TLBO without knowing details of this algorithm. Meanwhile, we also give an experimental comparison for demonstrating the effectiveness of TLBO on 5 benchmark evaluation functions and conclude this work by identifying trends and challenges of TLBO research and development.
- Copyright
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Kai-Lin Wang AU - Hui-Bin Wang AU - Li-Xia Yu AU - Xue-Yu Ma AU - Yun-Sheng Xue PY - 2013/03 DA - 2013/03 TI - Toward Teaching-Learning-Based Optimization Algorithm for Dealing with Real-Parameter Optimization Problems BT - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013) PB - Atlantis Press SP - 606 EP - 609 SN - 1951-6851 UR - https://doi.org/10.2991/iccsee.2013.155 DO - 10.2991/iccsee.2013.155 ID - Wang2013/03 ER -