Adaptive Teaching Learning Based Optimization Applied to Nonlinear Economic Load Dispatch Problem

2014 ◽  
Vol 5 (4) ◽  
pp. 1-16 ◽  
Author(s):  
Sk Md Ali Bulbul ◽  
Provas Kumar Roy
Keyword(s):  
Classroom Environment ◽  
Teaching And Learning ◽  
Dynamic Parameter ◽  
Economic Load Dispatch ◽  
System A ◽  
Suitable Parameter ◽  
Adaptive Teaching ◽  
Teaching Learning Based Optimization ◽  
Teaching Learning ◽  
The Cost

Economic load dispatch (ELD) is a process of calculating real power dispatch by satisfying a set of constraints such a way as fuel cost can be minimized. Inclusion of the effect of valve-points and prohibited operation zones (POZs) in the cost functions make ELD problem a non-linear and non-convex one. For solving ELD in power system a newly proposed evolutionary technique namely adaptive teaching learning based optimization (ATLBO) is presented in this article. TLBO mimics the influence of a teacher on students in a classroom environment by social interaction. ATLBO is an improved version of TLBO which makes TLBO faster and more robust. An adaptive dynamic parameter control mechanism is adopted by the proposed ATLBO algorithm to determine the suitable parameter settings for teaching and learning phases of TLBO algorithm. The proposed ATLBO algorithm is tested in three different cases like 10-unit, 40-unit, and 80-unit systems. A comparison of numerical results with other well established techniques reveals optimization superiority of the proposed scheme both in quality of solution and computational efficiency.

A Comparative Study of Improved Teaching Learning Based Optimization Technique on Economic Load Dispatch Problem with Generator Constraints

2016 ◽  
Vol 5 (4) ◽  
pp. 1-25 ◽  
Author(s):  
Sumit Banerjee ◽  
Chandan Chanda ◽  
Deblina Maity
Keyword(s):  
Optimization Technique ◽  
Inequality Constraints ◽  
Test System ◽  
Economic Load Dispatch ◽  
Thermal Plant ◽  
Equality And Inequality Constraints ◽  
Teaching Learning Based Optimization ◽  
Teaching Learning ◽  
Operational Constraints ◽  
Rate Limit

This article presents a novel improved teaching learning based optimization (I-TLBO) technique to solve economic load dispatch (ELD) problem of the thermal plant without considering transmission losses. The proposed methodology can take care of ELD problems considering practical nonlinearities such as ramp rate limit, prohibited operating zone and valve point loading. The objective of economic load dispatch is to determine the optimal power generation of the units to meet the load demand, such that the overall cost of generation is minimized, while satisfying different operational constraints. I-TLBO is a recently developed evolutionary algorithm based on two basic concepts of education namely teaching phase and learning phase. The effectiveness of the proposed algorithm has been verified on test system with equality and inequality constraints. Compared with the other existing techniques demonstrates the superiority of the proposed algorithm.

scholarly journals Perception of In-Service Teachers Towards Blended Learning as the New Normal in Teaching-Learning Process Post COVID-19 Pandemic

2020 ◽  
Author(s):  
Rabiya Saboowala ◽  
Pooja Manghirmalani-Mishra
Keyword(s):  
Online Learning ◽  
Blended Learning ◽  
Interaction Effect ◽  
Classroom Environment ◽  
Professional Growth ◽  
Teaching And Learning ◽  
Global Pandemic ◽  
Study Management ◽  
Six Dimensions ◽  
Teaching Learning

Abstract Blended learning is the application of Information and Communication Technology in the instructional designs and processes in such a way that it can support and complement face-to-face delivery models effectively. It offers the teachers and the students to get access to information-rich resources anywhere and anytime. It also has the potential to ensure educational equity for all learners with complete transparency of rendering education to the community of learners. Today, blended learning has become the need of the hour looking into the aspects of global pandemic of COVID-19 and implementation of Education 4.0. The study consists of 313 in-service teachers from India belonging to various types of Educational Institutions. Simple random technique of sampling was used to collect data. The interaction effect of gender and teachers who have attended/conducted webinars/ workshops/ conferences/FDPs online or not on their attitude towards blended learning and its six dimensions viz. learning flexibility, online learning, study management, technology, classroom learning and online interaction was studied. Also, the interaction between the effects of highest educational qualification of teachers and teachers who have attended/conducted webinars/workshops/conferences/FDPs online or not on their attitude towards Blended Learning and its six dimensions was considered. Analysis for the testing research hypothesis was done using the IBM Statistical Package for Social Scientists (SPSS-26). The results indicated that there was an interaction between gender and teachers who have or have not conducted/attended webinars/conferences online towards blended learning and online learning dimension. Results also showed that based on the interaction effect of the highest qualification of the teacher and the teachers who have actually implemented teaching and learning through online line sessions varied in their attitude as far as study management and classroom environment was considered. Implementation of blended learning for professional growth of school teachers post pandemic will push the boundaries of learning by creating opportunities for collaboration of various educational societies throughout the globe, enhance constructivist learning and also help in following social norms set to fight against COVID-19.

scholarly journals Teaching-Learning-Based Optimization with Learning Enthusiasm Mechanism and Its Application in Chemical Engineering

2018 ◽  
Vol 2018 ◽  
pp. 1-19 ◽  
Author(s):  
Xu Chen ◽  
Bin Xu ◽  
Kunjie Yu ◽  
Wenli Du
Keyword(s):  
Real World ◽  
Teaching And Learning ◽  
Chemical Engineering ◽  
Search Algorithm ◽  
Population Based ◽  
Metaheuristic Search ◽  
Teaching Learning Based Optimization ◽  
Teaching Learning ◽  
Real World Problems

Teaching-learning-based optimization (TLBO) is a population-based metaheuristic search algorithm inspired by the teaching and learning process in a classroom. It has been successfully applied to many scientific and engineering applications in the past few years. In the basic TLBO and most of its variants, all the learners have the same probability of getting knowledge from others. However, in the real world, learners are different, and each learner’s learning enthusiasm is not the same, resulting in different probabilities of acquiring knowledge. Motivated by this phenomenon, this study introduces a learning enthusiasm mechanism into the basic TLBO and proposes a learning enthusiasm based TLBO (LebTLBO). In the LebTLBO, learners with good grades have high learning enthusiasm, and they have large probabilities of acquiring knowledge from others; by contrast, learners with bad grades have low learning enthusiasm, and they have relative small probabilities of acquiring knowledge from others. In addition, a poor student tutoring phase is introduced to improve the quality of the poor learners. The proposed method is evaluated on the CEC2014 benchmark functions, and the computational results demonstrate that it offers promising results compared with other efficient TLBO and non-TLBO algorithms. Finally, LebTLBO is applied to solve three optimal control problems in chemical engineering, and the competitive results show its potential for real-world problems.

scholarly journals Multiple View Relations Using the Teaching and Learning-Based Optimization Algorithm

Computers ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 101
Author(s):  
Alan López-Martínez ◽  
Francisco Javier Cuevas
Keyword(s):  
Computer Vision ◽  
Optimization Algorithm ◽  
Teaching And Learning ◽  
Computational Burden ◽  
Multiple View ◽  
Tlbo Algorithm ◽  
Heuristic Technique ◽  
Teaching Learning Based Optimization ◽  
Random Sample Consensus ◽  
Teaching Learning

In computer vision, estimating geometric relations between two different views of the same scene has great importance due to its applications in 3D reconstruction, object recognition and digitization, image registration, pose retrieval, visual tracking and more. The Random Sample Consensus (RANSAC) is the most popular heuristic technique to tackle this problem. However, RANSAC-like algorithms present a drawback regarding either the tuning of the number of samples and the threshold error or the computational burden. To relief this problem, we propose an estimator based on a metaheuristic, the Teaching–Learning-Based Optimization algorithm (TLBO) that is motivated by the teaching–learning process. We use the TLBO algorithm in the problem of computing multiple view relations given by the homography and the fundamental matrix. To improve the method, candidate models are better evaluated with a more precise objective function. To validate the efficacy of the proposed approach, several tests, and comparisons with two RANSAC-based algorithms and other metaheuristic-based estimators were executed.

scholarly journals Predicting Cardiovascular Disease as a Long-Term Diabetes Complication using SOM

2020 ◽  
Vol 8 (6) ◽  
pp. 3288-3292
Keyword(s):  
Cardiovascular Disease ◽  
Teaching And Learning ◽  
Diabetes Type 2 ◽  
Network Teaching ◽  
Self Organized ◽  
Teaching Learning Based Optimization ◽  
Teaching Learning ◽  
Prediction Of Diabetes

Cardiovascular disease (CVD) is the most common serious of long term type2 diabetic’s mellitus. It is estimated that most of the T2DM patients causes death due to CVD. Around 90% of CVD can be prevented with proper prediction of diabetes. Type 2 diabetes mellitus begins with insulin resistance, a condition in which it fails to respond to insulin properly. This paper explores Hybrid Wavelet Neural Network to train the system to learn the pattern to predict the disease and Self Organized map method is used for information clustering and visualization of excessive dimensional records to predict the disease with less parameter high accuracy which can help to prevent the disease. Modified Teaching Learning Based Optimization algorithm achieves the optimized learning from the pertained network. Teaching and learning based optimized technique yield better accuracy with a dataset of 770 patients. The measure of accuracy is compared with other algorithms and it is analyzed for further ratification.

scholarly journals Philosophy-in-Action in University Teaching

1994 ◽  
Vol 24 (3) ◽  
pp. 1-25
Author(s):  
Sue M. Scott ◽  
Donna M. Chovanec ◽  
Beth Young
Keyword(s):  
Classroom Environment ◽  
Teaching And Learning ◽  
Research Question ◽  
University Teaching ◽  
Theory Approach ◽  
Critical Thought ◽  
Institutional Issues ◽  
Teaching Learning ◽  
Study Participants ◽  
The Relationship

Fourteen professors expressed their "traditional," "humanist," and "critical" philosophies about teaching and learning when they engaged in dialogue with us and each other. The relationship between their philosophy of teaching and their practice in the classroom is the research question. Four themes that elaborate these philosophies-in-action emerged from a grounded-theory approach to data analysis. One theme, "Expert vs. Co-learner" describes these professors' views of themselves as teachers. A second theme, "The Relationship of Comfort to Critique, " outlines some of the tensions that arise from attempting to create a comfortable classroom environment while also encouraging critical thought. "Learning for Change, " the third theme, is about the differing forms of change in the learner that these professors seek as evidence that learning is taking place. Finally, in the section called "Coping with Constraints, " our study participants identify institutional issues that have made it difficult for them to enact their particular teaching-learning philosophies in university classes.

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