Ranking-based biased learning swarm optimizer for large-scale optimization
Large-scale optimization, solving real high-dimensional problems, has attracted many
research interests. Large-scale optimization problems are far more difficult than traditional …
research interests. Large-scale optimization problems are far more difficult than traditional …
A chaotic teaching learning based optimization algorithm for clustering problems
Y Kumar, PK Singh - Applied Intelligence, 2019 - Springer
This paper presents a teaching learning based algorithm for solving optimization problems.
This algorithm is inspired through classroom teaching pattern either students can learn from …
This algorithm is inspired through classroom teaching pattern either students can learn from …
Modeling and simulation to optimize direct power control of DFIG in variable-speed pumped-storage power plant using teaching–learning-based optimization …
SMH Hosseini, A Rezvani - Soft Computing, 2020 - Springer
The issues related to the optimal control of large-scale storage systems in electric power
systems such as pumped storage (PS) plant have turned into vital challenges in the way of …
systems such as pumped storage (PS) plant have turned into vital challenges in the way of …
Confined teaching-learning-based optimization with variable search strategies for continuous optimization
HC Tsai - Information Sciences, 2019 - Elsevier
The well-known optimization approach teaching-learning-based optimization (TLBO) is
modified by using a confined TLBO (CTLBO) to eliminate the teaching factor. Different …
modified by using a confined TLBO (CTLBO) to eliminate the teaching factor. Different …
Optimization of abrasive waterjet machining process using multi-objective jaya algorithm
In this work single-objective, multi-objective and multi-parameter optimization models of a
widely used modern machining process namely abrasive waterjet machining process are …
widely used modern machining process namely abrasive waterjet machining process are …
CTLBO: Converged teaching–learning–based optimization
MJ Mahmoodabadi, R Ostadzadeh - Cogent Engineering, 2019 - Taylor & Francis
Teaching–learning–based optimization (TLBO) is an algorithm based on the influence of a
teacher on the output of learners in a class. This method has shown to be more effective and …
teacher on the output of learners in a class. This method has shown to be more effective and …
Estimation of fracture aperture from petrophysical logs using teaching–learning-based optimization algorithm into a fuzzy inference system
HZ Ghoochaninejad, MR Asef, SA Moallemi - Journal of Petroleum …, 2018 - Springer
Aperture, which refers to the opening size of a fracture, is a critical parameter controlling rock
mass permeability. Moreover, distribution of permeability within the reservoir is commonly …
mass permeability. Moreover, distribution of permeability within the reservoir is commonly …
Multi-objective optimization of thermo-acoustic devices using teaching-learning-based optimization algorithm
The current article presents three case studies based on a multi-objective optimization
approach to optimize the performance of thermo-acoustic devices by obtaining the best …
approach to optimize the performance of thermo-acoustic devices by obtaining the best …
IHDETBO: A Novel Optimization Method of Multi‐Batch Subtasks Parallel‐Hybrid Execution Cloud Service Composition for Cloud Manufacturing
LN Zhu, PH Li, XL Zhou - Complexity, 2019 - Wiley Online Library
Cloud manufacturing (CMfg) is a new service‐oriented smart manufacturing paradigm, and it
provides a new product development model in which users are enabled to configure, select …
provides a new product development model in which users are enabled to configure, select …