BEE055 Optimization Techniques Syllabus
AKTU B.Tech · 3rd Year · Unit-wise syllabus (effective 2024-25)
BEE055 Optimization Techniques (also written as KEE055) is a subject in the 3rd year of the AKTU B.Tech programme, prescribed by Dr. A.P.J. Abdul Kalam Technical University. It carries 3 credits. The syllabus is divided into 5 units: Unit I Introduction to Optimization, Unit II Linear Programming, Unit III Non-Linear Programming, Unit IV Simulation and Project Management Techniques, Unit V Case study (algorithm only). The complete unit-wise topic list, course outcomes and reference books are given below, taken from the official AKTU syllabus effective from 2024-25.
BEE055 Subject Details
| Subject Code | BEE055 / KEE055 |
|---|---|
| Subject Name | Optimization Techniques |
| University | Dr. A.P.J. Abdul Kalam Technical University (AKTU) |
| Course | B.Tech (Bachelor of Technology) |
| Year / Semester | 3rd Year |
| Credits | 3 |
| Total Units | 5 |
| Scheme Effective From | 2024-25 |
| Last Verified | 2026-08-19 |
BEE055 Optimization Techniques Unit-Wise Syllabus
Official AKTU syllabus (effective 2024-25) — 5 units.
Unit 1: Unit I Introduction to Optimization
Unit I Introduction to Optimization: Engineering application of Optimization, Statement of an optimization problem, Optimal problem formulation, Classification of optimization problem, Optimum design concepts: Definition of Global and Local optima using basic calculus concepts; Classical Optimization Techniques: Unconstrained Optimization - Single variable optimization, Constrained multivariable optimization with equality constraints - Lagrange multipliers method, Constrained multivariable optimization with inequality constraints - Kuhn-Tucker conditions.
Unit 2: Unit II Linear Programming
Unit II Linear Programming: Standard form of linear programming, Graphical solution, Simplex method, Big-M method, Duality theory, Decomposition principle, Transportation problem using North-West Corner rule and Least cost rule.
Unit 3: Unit III Non-Linear Programming
Unit III Non-Linear Programming: Standard form of non-linear programming, One–Dimensional Minimization Methods - Unimodal function, Dichotomous search, interval halving method; Unconstrained Optimization Techniques - Univariate method, Steepest descent method; Constrained Optimization Techniques - Interior Penalty function method, Exterior penalty function method.
Unit 4: Unit IV Simulation · Project Management Techniques
Unit IV Simulation: Definition, types of simulation, General process of simulation, advantages & disadvantages of simulation. Project Management Techniques: PERT and CPM ELECTRICAL ENGINEERING Modern methods of Optimization: Genetic algorithm, working principle, fitness function, GA operators – crossover & mutation, comparison of GA with traditional methods.
Unit 5: Unit V Case study (algorithm only)
Unit V Case study (algorithm only): Economic load scheduling of power plant (without considering losses), maintenance scheduling of machines in manufacturing industry, fuzzy logic based speed control of DC machines.
BEE055 Course Outcomes
- Pre-requisites of course: Basic mathematics
- Level, KL
- Upon the completion of the course, the student will be able to:
- CO 1 Understand the importance of optimization techniques in engineering applications K2
- CO2 Learn optimization methods for solving linear programming problems K3
- CO3 Learn optimization methods for solving nonlinear programming problems K3
- CO4 Be aware of the concept of simulation and modern methods of optimization K3
- CO5 Apply optimization techniques to electrical engineering problems K4
- K1 – Remember K2 – Understand K3 – Apply K4 – Analyze K5 – Evaluate K6 – Create
BEE055 Reference Books
- S.S.Rao,"Optimization - Theory and Applications", Wiley-Eastern Limited.
- D.E. Goldberg,"Genetic Algorithm in Search Optimization and Machine Learning ", Addision-Wesley
- Kwang Y. Lee, Mohamed A. El-Sharkawi, “Modern heuristic optimization techniques, Theory and
Frequently Asked Questions about BEE055
What is the syllabus of BEE055 Optimization Techniques?
The AKTU BEE055 Optimization Techniques syllabus is divided into 5 units: Unit I Introduction to Optimization; Unit II Linear Programming; Unit III Non-Linear Programming; Unit IV Simulation and Project Management Techniques; Unit V Case study (algorithm only). The complete topic list for each unit is published on this page, taken from the official Dr. A.P.J. Abdul Kalam Technical University syllabus effective from 2024-25.
How many units are there in BEE055?
BEE055 Optimization Techniques has 5 units in the AKTU syllabus and 3 credits.
Is BEE055 the same subject as KEE055?
Yes. AKTU renumbered its B.Tech subject codes from the 2022-23 session onwards, so the same subject appears as BEE055 and KEE055 depending on the scheme year. The syllabus content is the same.
How many credits is BEE055 worth?
BEE055 Optimization Techniques carries 3 credits in the AKTU evaluation scheme.
Where can I download BEE055 previous year question papers?
AKTU B.Tech previous year question papers for every semester are available to download free on Ryzenstudy, with no login or registration required.
Is this the official AKTU syllabus for BEE055?
Yes. Every topic on this page is taken from the official Dr. A.P.J. Abdul Kalam Technical University syllabus document (AKTU B.Tech 3rd Year Electrical Engineering Syllabus), effective from 2024-25. A direct link to the original AKTU PDF is provided at the top of this page. Last verified on 2026-08-19.
Related AKTU Syllabus
Source: Dr. A.P.J. Abdul Kalam Technical University official syllabus — AKTU B.Tech 3rd Year Electrical Engineering Syllabus, effective from 2024-25. Ryzenstudy is not affiliated with AKTU. Content last verified on 2026-08-19.