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1. Presentations:

  1. Basics of MATLAB
  2. Control Systems
  3. Genetic Optimization Algorithm
  4. Grey Wolf Optimization Algorithm
  5. Fireworks Optimization Algorithm
  6. Directed Bee Colony Optimization Algorithm
  7. Multi Agent System for Smart Grid
  8. How to Write Research Paper
  9. Workshop on Advanced Optimization Techniques (AOT’15) from 18-22 May 2015 at MNIT, Jaipur, India

2.  Framework for Generation and Detection of P300 waveforms: P300 is a unique signal elicited by the brain on receiving a specific stimulus. It is most commonly known for being used as a EEG based speller, where the user can, simply with his focus, spell a word. Since the EEG data consisted of a lot of data to work with, we ended up with a large variety and quantity of features to experiment with. To enable modular organization, fast code execution and stacked feature vectors we setup a framework which utilisescaching, parallel computing and modularity. Finally after intensive testing we obtained highly accurate results, competitive with work done previously. (Composed by My Team consisting of Mr. A. Kumar, Mr. S. Shah @MNIT)

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3. Backtracking Search Optimization based Neural Network (BSANN): BSANN is a complex stochastic search based Evolutionary Algorithm which smartly backtracks from new to old populations during its evolution to reduce error caused from entering a non-ideal search space. It is based on a multilayer Neural Network Architecture. It has shown excellent results in the domain of EEG pattern detection beating the results of best available algorithms(including winner of the BCI competition) in the field of Motor Imagery BCI. A python library implementation of both the original BSA as well as BSA-NN supporting parallel processing has been attached below. (Composed by My Team consisting of Mr. S. Shah, Mr. S. Agarwal @MNIT)

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4. Vectorized Particle Swarm Optimization Algorithm: PSO code presented here is based on basic swarming techniques where the global and the personal best solution of agents lead to the global best position according to the problem. The codes of PSO and IPSO (Inertial Particle Swarm Optimization) are presented here and benchmark functions such as Ackley, FoxHoles, Rosenbroch etc. are given along the codes for verification. The code has been vectorized in MATLAB so as to make it even faster. Multiple steps have been reduced resulting in higher efficiency and speed of the algorithm. The matlab files for the PSO toolbox are given below for download. The syntaxes and try run codes are presented alongside. (Composed by My Team consisting of Mr. B. P. Singh @MNIT)

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Download Benchmark functions: Rosenbrock,  Restrigin,  Griewank, FoxHoles,  Ackley

5. Gummi : It is a LaTeX editor for the Linux platform, written in C/GTK+. It was designed with simplicity and develops pdf online structure. Gummi was released as free opensource software under the MIT license. (@Gummi)

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6. Scilab : Scilab is free and open source software for numerical computation providing a powerful computing environment for engineering and scientific applications. It supports Windows, Linux and MAC OSX. (@Scilab)

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7. Apache OpenOffice : Apache OpenOffice is the leading open-source office software suite for word processing, spreadsheets, presentations, graphics, databases and more. Apache OpenOffice is developed 100% by volunteers. It is compatible with other major office suites. (@Apache OpenOffice)

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