title: Bare-bones teaching-learning-based optimization.
abstract: Teaching-learning-based optimization (TLBO) algorithm which simulates the teaching-learning process of the class room is one of the recently proposed swarm intelligent (SI) algorithms. In this paper, a new TLBO variant called bare-bones teaching-learning-based optimization (BBTLBO) is presented to solve the global optimization problems. In this method, each learner of teacher phase employs an interactive learning strategy, which is the hybridization of the learning strategy of teacher phase in the standard TLBO and Gaussian sampling learning based on neighborhood search, and each learner of learner phase employs the learning strategy of learner phase in the standard TLBO or the new neighborhood search strategy. To verify the performance of our approaches, 20 benchmark functions and two real-world problems are utilized. Conducted experiments can been observed that the BBTLBO performs significantly better than, or at least comparable to, TLBO and some existing bare-bones algorithms. The results indicate that the proposed algorithm is competitive to some other optimization algorithms.
authors.affiliation: School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China ; School of Physics and Electronic Information, Huaibei Normal University, Huaibei 235000, China.
authors.forename: Feng
authors.initials: F
authors.lastname: Zou
authors.affiliation: School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China.
authors.forename: Lei
authors.initials: L
authors.lastname: Wang
authors.affiliation: School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China.
authors.forename: Xinhong
authors.initials: X
authors.lastname: Hei
authors.affiliation: School of Physics and Electronic Information, Huaibei Normal University, Huaibei 235000, China.
authors.forename: Debao
authors.initials: D
authors.lastname: Chen
authors.affiliation: School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China.
authors.forename: Qiaoyong
authors.initials: Q
authors.lastname: Jiang
authors.affiliation: School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China.
authors.forename: Hongye
authors.initials: H
authors.lastname: Li
mesh_terms: D000465:Algorithms; D007858:Learning; D013663:Teaching / Q000379:methods*