EE

EEL704C: Engineering System Design Optimization Syllabus for EE 7th Sem 2018-19 DBATU (Elective-X)

Engineering System Design Optimization detailed syllabus scheme for Electrical Engineering (EE), 2018-19 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology students. For Subject Code, Course Title, Lecutres, Tutorials, Practice, Credits, and other information, do visit full semester subjects post given below.

For 7th Sem Scheme of Electrical Engineering (EE), 2018-19 Onwards, do visit EE 7th Sem Scheme, 2018-19 Onwards. For the Elective-X scheme of 7th Sem 2018-19 onwards, refer to EE 7th Sem Elective-X Scheme 2018-19 Onwards. The detail syllabus for engineering system design optimization is as follows.

Engineering System Design Optimization Syllabus for Electrical Engineering (EE) 4th Year 7th Sem 2018-19 DBATU

Engineering System Design optimization

Pre-requisite:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
Get it on Google Play.

Course Outcomes:

  • To understand different level optimization problem formulation.
  • To study novel methods in optimization.
  • To understand and develop genetic algorithm for engineering problems.

Unit 1

Introduction- Optimization problem formulation, optimization algorithms, applications and examples, different optimization methods available

Unit 2

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
Get it on Google Play.

Unit 3

Multi objective optimization- Optimization criteria, Different search methods, Unidirectional search, Direct search method – Evolutionary optimization method, Powell”s conjugate direction method; Gradient based methods – Newton”s method and Variable metric method.

Unit 4

Specialized Methods- Integer programming, Geometric programming, simulated annealing, Global optimization using – steep descent method, simulated annealing.

Unit 5

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.
Get it on Google Play.

Reference Book:

  1. Kalyanmoy Deb, Optimization for Engineering design, Prentice Hall, India, 2005.
  2. Kalyanmoy Deb, Multi objective optimization using Evolutionary algorithms, John Wiley,

For detail syllabus of all subjects of Electrical Engineering (EE) 7th Sem 2018-19 onwards, visit EE 7th Sem Subjects of 2018-19 Onwards.

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