Concepts of Metaheuristics

An introduction to the most used multi-criteria decision-making method including example. The tutorial uses a graphical mode to explain the concept.  The Analytic Hierarchy Process (AHP) is a method for organizing and analyzing complex decisions, using math and psychology. It was developed by Thomas L. Saaty in the 1970s and has been refined since then.( Passage Technology ). See the entire video as given above. If you are interested to know more about the technique then click here Music Courtesy: https://pixabay.com/ If you want more such tutorial visit: http://www.baipatra.ws If you have a paper to publish then consider the journals here: http://energyinstyle.website/  

A tutorial on solving Quadratic Optimization Problems

Classification of Optimization Techniques full tutorial at http://www.baipatra.ws  

Constraints in Optimization Techniques Full Tutorial: http://www.baipatra.ws

Fundamentals of Optimization Techniques Full Tutorial at http://www.baipatra.ws

A brief introduction to distribution function which depicts the pattern of data. This information is essential to select the type of ANN models that can be applied to develop a model based on that data. Access the complete course at https://gum.co/Ksjlq or find such videos at http://www.baipatra.ws Music by Palle1958 from https://pixabay.com/

Auto and Cross Regression Models

Auto and Cross-Correlation

Lear about the concepts of Linear Programming 1)How to formulate the problem ? 2)How to solve the problem by the graphical method?

Learn about Dynamic Programming with Examples.

A simple tutorial on GA. Explained with example.

The procedure used to carry out the learning process in a neural network is called the optimization algorithm (or optimizer). There are many different optimization algorithms. All have different characteristics and performance in terms of memory requirements, processing speed, and numerical precision. Four major parameters are estimated in the process of developing neural network-based models. The four significant parameters of neural networks include : 1)Activation function from Input to Hidden 2)Activation function from Hidden to Output 3)Number of hidden layers 4)The magnitude of weights of the connections (To know more about the above parameters see my tutorial on Artificial Neural Network ) This article is about the methods utilized to estimate the weights of the connections. The process of estimation of weights is similar to optimization problems. Here the weights are design variables. The transfer function prepared to transfer the information from input to output is the objectiv...

Training algorithms for Neural Networks from Mrinmoy Majumder A tutorial on Conjugate Gradient Descent and Newton's Method.Go through the PPT and see if you can understand the concept and apply the same.If not do reply me.

QNANN is an algorithm which are used for update of weights of the neural networks. These algorithms are also known as training algorithm and is known to be popular enough as a technique to optimize the accuracy of neural network. In this presentation the two important techniques for weight update of neural networks at the time of training. Quasi newton artificial neural network training algorithms from Mrinmoy Majumder

Auto and Cross Correlation Coefficient is used for approximation of the auto and cross correlation of the two part of same data series and two different data series. Their magnitude depicts the way they are related to each other..Such concepts are included in the basics of statistics.However the knowledge of these two metrics are important before a model is to be developed for prediction of real time case study. You can find the tutorial by going to my slide-share account .

Can you provide me a feedback on the following tutorial ? How to optimize with the help of the Particle Swarm Optimization(PSO) Technique and xlOptimizer ? This brief tutorial will help you to solve any optimization problem with the application of Particle Swarm Optimization Method and xl addin : xlOptimizer. After a brief introduction about PSO the tutorial show you the steps that you will need to follow for application of PSO in optimization even if you do not know any programming with the help of xlOptimizer.(Some basic knowledge of MS Excel 2010 and later is required). Introduction to particle swarm optimization from Mrinmoy Majumder

The most easy to use decision making techniques : Weighted Sum Method(WSM) and Weighted Product Method(WPM).  Visit this link  to access the WSM and WPM calculators which will help you to identify the best option from a set of available solutions for a given decision making problem(Developed by BP) Admin and Editor(hon) My Kudos Profile

Brief introduction on Weighted Product Method(WPM) and Weighted Sum Method(WSM) with an example. Weighted Product Method : A brief introduction from Mrinmoy Majumder Weighted Sum Method: An Introduction from Mrinmoy Majumder Admin and Editor(hon) My Kudos Profile

The most easy to use decision making techniques : Weighted Sum Method(WSM) and Weighted Product Method(WPM).   Visit this link  to access the WSM and WPM calculators which will help you to identify the best option from a set of available solutions for a given decision making problem. Admin and Editor(hon) My Kudos Profile

In recent years,different objective methods are applied to identify the best option from the available set of alternative for solving a given decision making problem.Analytical Hierarchical Process or AHP is one of such method which is mostly applied in decision making problems where multiple criteria is considered before selecting the best solution among the available set of solutions.This tool will help to identify the best solution with the help of AHP method from a set of feasible solutions to solve the given decision making problem. Suppose we want to select the best location for installation of a hydro power plant. Such kind of power plant require sufficient amount of flow at a regular frequency throughout the year.The interconnection length or the distance between the two banks of the river must also within the suitable limit. So Amount and Frequency of Flow including the Interconnection Length of the available locations can be selected as the Criteria by which the availab...