Computational optimization is an active and important area of study, practice, and research today. It covers a wide range of applications in engineering, science, and industry. It provides solutions to a variety of real-life problems in the fields of health, business, government, military, politics, security, education, and many more. Charles L. Byrne Department of Mathematical Sciences University of Massachusetts Lowell A First Course in Optimization Hindawi View Mechanical design optimization using advanced optimization techniques.pdf from EE EE686 at Korea Advanced Institute of Science and Technology. Springer Series in Advanced Manufacturing For. Study Resources. Main Menu; Korea Advanced Institute of Science and Technology. EE. MATLAB Optimization Techniques. MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution production. An optimization algorithm is a procedure which is executed iteratively by comparing various solutions till an optimum or a satisfactory solution is found. With the advent of computers, optimization has become a part of computer-aided design activities. There are two distinct types of optimization algorithms widely used today.