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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[17] Use of Teaching Learning Based Optimization for Data Clustering
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[18] A Teaching-Learning-Based Optimization with Modified Learning Phases for Continuous Optimization
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[19] An empirical evaluation of teaching–learning-based optimization, genetic algorithm and particle swarm optimization
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[20] A Survey of Application and Classification on Teaching-learning-based Optimization Algorithm
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[22] A Hybrid TLBO Algorithm by Quadratic Approximation for Function Optimization and Its Application
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[24] Mobile Robot Path Planning using a Teaching-Learning-Interactive Learning-Based Optimization
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[25] A Cyclical Non-Linear Inertia-Weighted Teaching–Learning-Based Optimization Algorithm
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[26] Location and Capacity Planning of Electric Vehicles Charging Piles
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[27] Study of biology inspired global optimization techniques
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[28] CTLBO: Converged teaching–learning–based optimization
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[37] HSTLBO: A hybrid algorithm based on Harmony Search and Teaching-Learning-Based Optimization for complex high-dimensional optimization problems
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[56] Teaching Learning Based Optimization Algorithm for Solving Disassembly Sequence Planning Problem
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[58] 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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[59] Elitist teaching-learning-based optimization (ETLBO) with higher-order Jordan Pi-sigma neural network: a comparative performance analysis
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[60] Optimal Configuration of Stand-Alone Hybrid Microgrid Considering Cost, Reliability and Environmental Factors
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[61] Superior-Teaching-Learning-Based Optimization Algorithm for Solving Unconstrained Optimization Problems
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[62] Nonlinear Inertia Weighted Teaching-Learning-Based Optimization for Solving Global Optimization Problem
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[63] Novel line search based parameter optimization of multi-machnie power system stabilizer enhanced by teaching learning based optimization
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[68] Teaching-learning-based optimization with variable-population scheme and its application for ANN and global optimization
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[69] 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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[70] A comparative study of population based algorithms for global optimization and applications
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[71] An OR Practitioner's Solution Approach for the Set Covering Problem
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[73] Experimental Investigations on Machining of CFRP Composites: Study of Parametric Influence and Machining Performance Optimization
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[75] Unsupervised feature selection using rough set and teaching learning–based optimisation
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[76] Unsupervised feature selection using rough set and teaching learning-based optimisation
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