Open AccessIntroduction to Optimization Toolbox in MATLAB to Optimize Different Types of Optimization Problem
Author(s) -
Y. D. Shahakar,
A.S. Telang,
D. A. Shahakar
Publication year - 2022
Publication title -
indian scientific journal of research in engineering and management
Language(s) - English
Resource type - Journals
ISSN - 2582-3930
DOI - 10.55041/ijsrem12155
Subject(s) - toolbox , matlab , computer science , engineering optimization , solver , optimization problem , mathematical optimization , continuous optimization , field (mathematics) , algorithm , multi swarm optimization , mathematics , pure mathematics , programming language , operating system
Optimization plays an important role in our day to day life. There are number of techniques of optimizations are available to find the solution in various field like engineering as well as non engineering areas. There are various toolbox of optimization which are available in MATLAB. MATLAB is useful software in which number of toolboxes like signal processing , optimization, neural network , statistics etc are used to optimize the solution . Here optimization toolbox has been listed which are very useful to determine the optimum solution of different types of engineering as well as non engineering optimization problem. Classical optimization methods require more iteration and time to find the solution. So in case of large number of variables , it is not possible to apply such classical techniques. Instead of using classical/conventional optimization methods , here we are using optimization toolbox to optimize solution in accurate manner. Keywords : Optimization toolbox , LPP,NLPP , Problem based Solver