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  • 标题:Review of the Teaching Learning Based Optimization Algorithm
  • 本地全文:下载
  • 作者:Aruna ; Sheetal Kalra
  • 期刊名称:Indian Journal of Computer Science and Engineering
  • 印刷版ISSN:2231-3850
  • 电子版ISSN:0976-5166
  • 出版年度:2017
  • 卷号:8
  • 期号:3
  • 页码:319-323
  • 出版社:Engg Journals Publications
  • 摘要:The Teaching Learning Based Optimization (TLBO) algorithm is a recent nature based optimizationalgorithm which has attracted a lot of attention from the researchers due to its high potential in solving theoptimization problems. The algorithm has proved itself worthy for many applications in different disciplines ofengineering, technology and science such as mechanical design, thermal engineering, electrical engineering,artificial intelligence, physics, chemistry, biotechnology, computer engineering and economics. The algorithmtakes its inspiration from the natural teaching-learning phenomenon of a classroom. It finds the best solutionamong the various possible solutions. One of the major characteristics of the algorithm is that it requires onlycommon control parameters for its operation and does not require any algorithm-specific-parameter. This addsto the efficiency of the algorithm as the errors caused by the improper tuning of the specific parameters areremoved. The presented paper reviews the TLBO algorithm and its potential.
  • 关键词:Optimization; Teaching Learning Based Optimization Algorithm
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