Optimisation of Engineering Systems

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KHUDKIBOOK
OPTIMISATION OF ENGINEERING 2184009
FREE PDF 2184009
Code: 2184009 Credits: 5 Semester 8 Civil Infra

Optimisation of Engineering Systems

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Optimisation of Engineering Systems Syllabus — Unit-wise Content

The official GTU curriculum for Optimisation of Engineering Systems (subject code 2184009) as prescribed for Civil Infra · Semester 8 divides the course into 7 units, covering 44 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.

Download the official syllabus PDF (2184009)

Unit 1 Unit – I

4 lecture hours

  • Linear Programming Problems Introduction to Optimization and its scope
  • Formulating a Mathematical Model
  • Graphical Solution
  • Simplex Method
  • Duality Theory
  • Dual Simplex Method
  • Transportation Problem
  • Assignment Problem

Unit 2 Unit – II

14 lecture hours

  • Non-Linear Programming Problems Introduction
  • Single variable and multi variable optimization
  • Constrained and unconstrained problems
  • Kuhn-Tucker conditions
  • Dynamic Programming
  • Mixed Integer Programming

Unit 3 Unit – III

  • Project and Simulation Simulation
  • Project Management with CPM/PERT 6 15

Unit 4 Unit-IV

10 lecture hours

  • Introduction to Evolutionary Algorithms/ Nature Inspired Algorithms (Genetic Algorithm
  • Ant Colony Optimization
  • Particle Swarm Optimization)
  • Artificial Neural Networks

Unit 5 Unit – V

40 lecture hours

  • Engineering Applications Inventory Theory
  • Optimization in Civil and Infrastructure Engineering- Case Study problems 6 15 Course Learning Outcomes: Upon successful completion of this course
  • the student will be able to understand: (1) Basic theoretical principles in optimization
  • (2) Formulation of optimization models
  • (3) Solution methods in optimization
  • (4) Methods of sensitivity analysis and post processing of results (5) Applications to a wide range of engineering problems Syllabus (Tutorial) Problem solving using various software packages for the following areas. 1
  • Linear Programming 2
  • Non-linear Programming 3
  • Engineering problems solving 4
  • Case Study Text books and Reference books 1
  • Kalyanmoy Deb, Optimization for Engineering Design: Algorithms and Examples
  • S S Rao, Engineering Optimization: Theory and Practices
  • New Age International
  • Hillier F.S. and Lieberman G.J.
  • Introduction to Operations Research: Concepts and Cases
  • Tata McGraw Hill
  • (Indian Adapted Edition)
  • A, Operations Research: An Introduction
  • Pearson Education
  • Optimization in Operations Research
  • First Indian Reprint 2002

Unit 6 Pant.J.C., Introduction to Optimization

  • Operations Research
  • Jain Brothers

Unit 8 Kasana H.S. and Kumar K.D., Introductory Operations Research

  • Theory and Applications

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