Advanced Optimization Techniques

  • Computer Engineering |

Description

This course introduces the principles of Optimization Techniques. It provides the concepts of various classical and modern methods for constrained and unconstrained problems in both single and multivariable domains. The mathematical modeling and the transformation of optimization problems are also discussed. Many methods of modern optimization techniques are explored. The students will investigate and implement solutions of some real problems as case studies.

Program

PhD Program

Objectives

  • The aim of the course is to give students the basic knowledge and tools to recognize, classify and solve different questions related to optimization problems and basic theory and methods for the solution of optimization problems.
    The general objectives of the course are:
    1. to introduce the fundamental concepts of Optimization Techniques
    2. to make the learners aware of the importance of optimizations in real scenarios
    3. to provide the concepts of various classical and modern methods of for constrained and unconstrained problems in both single and multivariable.

Textbook

Data will be available soon!

Course Content

content serial Description
1Optimality Principle, Performance Measures
2Classification of Optimization Problems
3Mathematical Modeling of Optimization problems
4Transformation of Optimization Problems
5Single and Multi variable optimization
6Unconstrained Optimization
7Constrained Optimization
8Discrete Optimization
9Robust Optimization
10Dynamic Optimization
11Stochastic Optimization methods
12Nature inspired Optimization methods
13Optimization Case Study-1 (Network Design)
14Optimization Case Study-2 (Image - Video processing)
15Optimization Case Study-3 (Big-data Analytics)

Markets and Career

  • Generation, transmission, distribution and utilization of electrical power for public and private sectors to secure both continuous and emergency demands.
  • Electrical power feeding for civil and military marine and aviation utilities.
  • Electrical works in construction engineering.

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