Topic

No. of hours

Lecture

Tutorial/Practical

linear, network, non-linear. Starting.

6

3

3

Network Flow Problems.

6

3

3

Integer Linear Programming.

6

3

3

Stopping rules,Binary variables.

Implementing/solving the model..

6

3

3

mathematical programming.

6

3

3

path-following interior point methods.

6

3

3

Multiple goals, constraints.

Defining the objective.

6

3

3

Tradeoffs & goal revision.

Multiple objective linear programming (MOLP).

6

3

3

semi-definite and cone programming, and convex optimization.

6

3

3

Nonlinear Programming (NLP).

Generalized reduced gradient.

Local vs. Global optimality model.

6

3

3

Economic Order Quantity.

Evolutionary Optimization.

6

3

3

advance concepts in multi-objective.

6

3

3

network optimization.

6

3

3

Minimization of Non differentiable Functions.

6

3

3