Applied Mathematics

Applied Mathematics

ISSN Print: 2152-7385
ISSN Online: 2152-7393
www.scirp.org/journal/am
E-mail: am@scirp.org
"Weighted Teaching-Learning-Based Optimization for Global Function Optimization"
written by Suresh Chandra Satapathy, Anima Naik, K. Parvathi,
published by Applied Mathematics, Vol.4 No.3, 2013
has been cited by the following article(s):
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[3] A stigmergic approach to teaching-learning-based optimization for continuous domains
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[5] Genetic-TLBO Algorithm for Power System Stabilizer
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[6] Teaching learning-based optimisation algorithm: a survey
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[8] Modified Social Group Optimization—a meta-heuristic algorithm to solve short-term hydrothermal scheduling
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[9] A reformative teaching–learning-based optimization algorithm for solving numerical and engineering design optimization problems
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[10] Improved teaching–learning based optimization algorithm using Lyapunov stability analysis
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[11] Teaching-Learning-Based Optimization Enhanced With Multiobjective Sorting Based and Cooperative Learning
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[12] Use of Teaching Learning Based Optimization for Data Clustering
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[13] A Teaching-Learning-Based Optimization with Modified Learning Phases for Continuous Optimization
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[14] An empirical evaluation of teaching–learning-based optimization, genetic algorithm and particle swarm optimization
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[15] A Survey of Application and Classification on Teaching-learning-based Optimization Algorithm
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[16] An Improved Teaching-Learning Based Optimization Algorithm and Its Application to Aero-Engine Start Model Adaptation
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[17] A Hybrid TLBO Algorithm by Quadratic Approximation for Function Optimization and Its Application
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[18] A Novel Software Package Selection Method Using Teaching–Learning Based Optimization and Multiple Criteria Decision Making
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[19] Mobile Robot Path Planning using a Teaching-Learning-Interactive Learning-Based Optimization
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[20] A Cyclical Non-Linear Inertia-Weighted Teaching–Learning-Based Optimization Algorithm
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[21] Location and Capacity Planning of Electric Vehicles Charging Piles
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[22] Study of biology inspired global optimization techniques
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[23] CTLBO: Converged teaching–learning–based optimization
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[24] 局部维度改进的教与学优化算法
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[25] Optimal Placement of Capacitor Banks Using a New Modified Version of Teaching-Learning-Based Optimization Algorithm
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[26] A non-dominated sorting TLBO algorithm for multi-objective short-term hydrothermal self-scheduling of GENCOs in a competitive electricity market
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[27] Effective search technique in teaching and learning phase of TLBO algorithm for numerical function optimisation
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[28] Teaching-Learning-Based Optimization with Learning Enthusiasm Mechanism and Its Application in Chemical Engineering
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[29] A Survey of Teaching–Learning-Based Optimization
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[30] Intelligent neighbourhood teaching learning based optimization algorithm
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[31] HSTLBO: A hybrid algorithm based on Harmony Search and Teaching-Learning-Based Optimization for complex high-dimensional optimization problems
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[32] Improved teaching–learning-based optimization algorithm-based maximum power point trackers for photovoltaic system
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[33] Optimal active and reactive power control of wind turbine driven DFIG using TLBO algorithm and artificial neural networks
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[34] Hybrid teaching-learning based optimization with harmony search for engineering optimization problems
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[35] Teaching–learning-based optimization with differential and repulsion learning for global optimization and nonlinear modeling
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[36] Network computing principle and application analysis based on distributed peer-to-peer
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[37] Survey on Teaching-Learning-Based Optimization
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[38] Review of applications of TLBO algorithm and a tutorial for beginners to solve the unconstrained and constrained optimization problems
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[39] An Experience Information Teaching–Learning-Based Optimization for Global Optimization
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[40] Global Maximum Power Point Tracking (MPPT) of a Photovoltaic Module Array Constructed through Improved Teaching-Learning-Based Optimization
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[41] An Experience Information Teaching-Learning-Based Optimization for Global Optimization.
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[42] Elitist teaching–learning-based optimization (ETLBO) with higher-order Jordan Pi-sigma neural network: a comparative performance analysis
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[43] 基于改进教学算法优化 BP 神经网络的催化剂碳含量预测模型
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[44] Advance Teaching–Learning Based Optimization for Global Function Optimization
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[45] Time series wind power forecasting based on variant Gaussian Process and TLBO
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[46] A TLBO based gradient descent learning-functional link higher order ANN: An efficient model for learning from non-linear data
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[47] Hierarchical multi-swarm cooperative teaching–learning-based optimization for global optimization
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[48] A Novel Global Path Planning Method for Mobile Robots Based on Teaching-Learning-Based Optimization
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[49] Teaching Learning Based Optimization Algorithm for Solving Disassembly Sequence Planning Problem
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[50] An Improved Teaching Learning Based Optimization Algorithm for Simulating the Maximum Power Point Tracking Controller in Photovoltaic system
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[51] 移动机器人全局路径规划的模拟退火-教与学优化算法
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[52] Elitist teaching-learning-based optimization (ETLBO) with higher-order Jordan Pi-sigma neural network: a comparative performance analysis
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[53] Optimal Configuration of Stand-Alone Hybrid Microgrid Considering Cost, Reliability and Environmental Factors
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[54] Superior-Teaching-Learning-Based Optimization Algorithm for Solving Unconstrained Optimization Problems
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[55] Nonlinear Inertia Weighted Teaching-Learning-Based Optimization for Solving Global Optimization Problem
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[56] Novel line search based parameter optimization of multi-machnie power system stabilizer enhanced by teaching learning based optimization
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[57] Character Recognition Using Teaching Learning Based Optimization
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[58] A Short Survey on Teaching Learning Based Optimization
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[59] Parametric appraisal and optimization in machining of CFRP composites by using TLBO (teaching–learning based optimization algorithm)
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[60] Teaching-learning based optimization with global crossover for global optimization problems
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[61] Teaching-learning-based optimization with variable-population scheme and its application for ANN and global optimization
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[62] A study on SVM based on the weighted elitist teaching-learning-based optimization and application in the fault diagnosis of chemical process
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[63] A comparative study of population based algorithms for global optimization and applications
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[64] An OR Practitioner's Solution Approach for the Set Covering Problem
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[65] 改进教与学优化算法的 IIR 数字滤波器设计
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[66] Experimental Investigations on Machining of CFRP Composites: Study of Parametric Influence and Machining Performance Optimization
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[67] Modified Teaching–Learning-Based Optimization algorithm for global numerical optimization—A comparative study
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[68] Unsupervised feature selection using rough set and teaching learning–based optimisation
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[69] Unsupervised feature selection using rough set and teaching learning-based optimisation
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[70] Cooperative teaching–learning based optimisation for global function optimisation
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