Classical optimization - Optimal problem formulation, Single value and multi-variable optimization algorithms- Elimination & search methods.
Non-linear programming - One-dimensional minimization - Kuhn-Tucker conditions, constrained and unconstrained optimization techniques and its characteristics.
Integer linear and non-linear programming, Geometric programming.
Multi criteria mathematical programming problems, solution methods.
Non-traditional optimization - Genetic algorithms - Simulated annealing.
REFERENCES
Kalyanmoy Deb, Optimization for Engineering design – algorithms and examples. PHI, New Delhi, 1995.
S.S.Rao, Optimization theory and applications, Wiley Eastern Ltd., 1979.
Garfinkel, R.S. and Nemhauser, G.L., Integer programming, John Wiley & Sons, 1972.
