Advances in teaching-learning-based optimization algorithm: A comprehensive survey(ICIC2022)

被引：28

作者：

Zhou, Guo ^{[1
]}

Zhou, Yongquan ^{[2
,3
,5
]}

Deng, Wu ^{[4
]}

Yin, Shihong ^{[2
]}

Zhang, Yunhui ^{[2
]}

机构：

[1] China Univ Polit Sci & Law, Dept Sci & Technol Teaching, Beijing 102249, Peoples R China

[2] Guangxi Univ Nationalities, Coll Articial Intelligence, Nanning 530006, Peoples R China

[3] Gunagxi Univ Nationalities, Xiangsihu Coll, Nanning 532100, Guangxi, Peoples R China

[4] Civil Aviat Univ China, Sch Elect Informat & Automat, Tianjin 300300, Peoples R China

[5] Guangxi Key Labs Hybrid Computat & IC Design Anal, Nanning 530006, Peoples R China

来源：

NEUROCOMPUTING | 2023年 / 561卷

关键词：

Metaheuristic; Optimization; Optimization problem; Population-based; Teaching-learning-based optimization algorithm; PROBABILISTIC NEURAL-NETWORKS; MULTIOBJECTIVE OPTIMIZATION; PARAMETER OPTIMIZATION; DISPATCH PROBLEM; TLBO ALGORITHM; OPTIMAL-DESIGN; FLOW-SHOP; CONSTRAINTS; SEGMENTATION; METHODOLOGY;

D O I：

10.1016/j.neucom.2023.126898

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Teaching-learning-based optimization (TLBO) algorithm which imitates the teaching-learning process in a classroom, is one of population-based heuristic stochastic swarm intelligent algorithms. TLBO executes through similar iterative evolution processes as utilized by a standard evolutionary algorithm. Unlike traditional evolutionary algorithms and swarm intelligent algorithms, the iterative computation process of teaching-learning-based optimization is divided into two phases and each phase executes iterative learning operation. In this paper, we present a comprehensive survey on the recent advances in TLBO. A review of the current literature reveals intriguing challenges and suggests potential future research directions.

引用

页数：20

共 50 条

[41] A multi-objective elitist feedback teaching-learning-based optimization algorithm and its application [J].

Ren, Ziwu ;

Jiang, Ruiqing ;

Yang, Fan ;

Qiu, Jie .

EXPERT SYSTEMS WITH APPLICATIONS, 2022, 188

[42] Teaching-learning-based optimization algorithm for hybrid flow shop scheduling problem with assembly operations [J].

Xu, Zhiwei ;

Lei, Deming .

PROCEEDINGS OF THE 30TH CHINESE CONTROL AND DECISION CONFERENCE (2018 CCDC), 2018, :4879-4884

[43] A teaching-learning-based optimization algorithm for the environmental prize-collecting vehicle routing problem [J].

Trachanatzi, Dimitra ;

Rigakis, Manousos ;

Marinaki, Magdalene ;

Marinakis, Yannis .

ENERGY SYSTEMS-OPTIMIZATION MODELING SIMULATION AND ECONOMIC ASPECTS, 2024, 15 (04) :1429-1456

[44] Teaching-learning-based optimization of ring and rotor spinning processes [J].

Diyaley, Sunny ;

Chakraborty, Shankar .

SOFT COMPUTING, 2021, 25 (15) :10287-10307

[45] Steelmaking and continuous casting scheduling based on hybrid teaching-learning-based optimization algorithm [J].

Ma, Wen-Qiang ;

Zhang, Chao-Yong ;

Tang, Qiu-Hua ;

Shao, Xin-Yu ;

Jia, Yan .

Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2015, 21 (05) :1271-1278

[46] Improved Teaching-Learning-Based Optimization Algorithm for Modeling NOX Emissions of a Boiler [J].

Li, Xia ;

Niu, Peifeng ;

Liu, Jianping ;

Liu, Qing .

CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES, 2018, 117 (01) :29-57

[47] Advanced optimal tolerance design of machine elements using teaching-learning-based optimization algorithm [J].

Rao, R. V. ;

More, K. C. .

PRODUCTION AND MANUFACTURING RESEARCH-AN OPEN ACCESS JOURNAL, 2014, 2 (01) :71-94

[48] An adaptive inertia weight teaching-learning-based optimization algorithm and its applications [J].

Shukla, Alok Kumar ;

Singh, Pradeep ;

Vardhan, Manu .

APPLIED MATHEMATICAL MODELLING, 2020, 77 :309-326

[49] A Hybrid Teaching-Learning-Based Optimization Algorithm for the Travel Route Optimization Problem alongside the Urban Railway Line [J].

Liu, Fuying ;

Liu, Chen ;

Zhao, Qi ;

He, Chenhao .

SUSTAINABILITY, 2021, 13 (03) :1-17

[50] Improved teaching-learning-based optimization algorithm with Cauchy mutation and chaotic operators [J].

Bao, Yin-Yin ;

Xing, Cheng ;

Wang, Jie-Sheng ;

Zhao, Xiao-Rui ;

Zhang, Xing-Yue ;

Zheng, Yue .

APPLIED INTELLIGENCE, 2023, 53 (18) :21362-21389

← 1 2 3 4 5 →