PR662

NATIONAL INSTITUTE OF TECHNOLOGY: TIRUCHIRAPPALLI-620 015

ADVANCED OPTIMISATION TECHNIQUES

 

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

  1. Kalyanmoy Deb, Optimization for Engineering design – algorithms and examples. PHI, New Delhi, 1995.

  2. S.S.Rao, Optimization theory and applications, Wiley Eastern Ltd., 1979.

  3. Garfinkel, R.S. and Nemhauser, G.L., Integer programming, John Wiley & Sons, 1972.