Search Results - subject:"Teaching-learning-based Optimization"

An outliers detection and elimination framework in classification task of data mining

Dash, Ch. Sanjeev Kumar; Behera, Ajit Kumar; Dehuri, … - In: Decision analytics journal 6 (2023), pp. 1-8

An outlier is a datum that is far from other data points in which it occurs. It can have a considerable impact on the output. Therefore, removing or resolving it before the analysis is essential to prevent skewing. Outliers in a survey sampling can have a significant outcome on statistical...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014505859

A simulation-metaheuristic approach for finding the optimal allocation of the battery energy storage system problem in distribution networks

Mohd Herwan Sulaiman; Mustaffa, Zuriani; Mohd Mawardi Saari - In: Decision analytics journal 7 (2023), pp. 1-14

study will use Teaching Learning-Based Optimization (TLBO) as the main optimizer for the problem simulation. The objective …

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014434134

A hybrid metaheuristic approach for solving a bi-objective capacitated electric vehicle routing problem with time windows and partial recharging

Zahedi, Farbod; Kia, Hamidreza; Khalilzadeh, Mohammad - In: Journal of advances in management research : JAMR 20 (2023) 4, pp. 695-729

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014381007

An integrated approach for scheduling flexible job-shop using teaching-learning-based optimization method

Buddala, Raviteja; Mahapatra, Siba Sankar - In: Journal of industrial engineering international 15 (2019) 1, pp. 181-192

In this paper, teaching–learning-based optimization (TLBO) is proposed to solve flexible job shop scheduling problem … approach. So an attempt has been made to solve FJSP based on integrated approach using TLBO. Teaching–learning-based … optimization is a meta-heuristic algorithm which does not have any algorithm-specific parameters that are to be tuned in comparison …

Persistent link: https://ebvufind01.dmz1.zbw.eu/10012020105

Improved teaching-learning-based and JAYA optimization algorithms for solving flexible flow shop scheduling problems

Buddala, Raviteja; Mahapatra, Siba Sankar - In: Journal of industrial engineering international 14 (2018) 3, pp. 555-570

rather tricky and time consuming. To address this limitation, teaching–learning-based optimization (TLBO) and JAYA algorithm …

Persistent link: https://ebvufind01.dmz1.zbw.eu/10011887964

Position controlling of Sun Tracking System using optimization technique

Rawat, Anuj; Jha, S. K.; Kumar, Bhavnesh - In: Energy Reports 6 (2020) 2, pp. 304-309

(GA), Particle Swarm Optimization (PSO) and Teaching Learning Based Optimization (TLBO) is used. These methods have been …

Persistent link: https://ebvufind01.dmz1.zbw.eu/10012652256

Position controlling of Sun Tracking System using optimization technique

Rawat, Anuj; Jha, S. K.; Kumar, Bhavnesh - In: Energy reports 6 (2020) 2, pp. 304-309

(GA), Particle Swarm Optimization (PSO) and Teaching Learning Based Optimization (TLBO) is used. These methods have been …

Persistent link: https://ebvufind01.dmz1.zbw.eu/10012179512

Improved teaching-learning-based and JAYA optimization algorithms for solving flexible flow shop scheduling problems

Buddala, Raviteja; Mahapatra, Siba Sankar - In: Journal of Industrial Engineering International 14 (2018) 3, pp. 555-570

rather tricky and time consuming. To address this limitation, teaching-learning-based optimization (TLBO) and JAYA algorithm …

Persistent link: https://ebvufind01.dmz1.zbw.eu/10011995854

A novel teaching-learning-based optimization algorithm for energy-efficient scheduling in hybrid flow shop

Lei, Deming; Gao, Liang; Zheng, Youlian - In: IEEE transactions on engineering management : EM 65 (2018) 2, pp. 330-340

Persistent link: https://ebvufind01.dmz1.zbw.eu/10011876821

A novel LASSO - TLBO - SVR hybrid model for an efficient portfolio construction

Mishra, Sasmita; Padhy, Sudarsan; Misra, S. N.; Miśra, … - In: The North American journal of economics and finance : a … 55 (2021), pp. 1-13

Persistent link: https://ebvufind01.dmz1.zbw.eu/10012668046