DESIGN OPTIMISATION4TH YEAR 1ST SEM
OBJECTIVE:
In many industrial design activities, optimization is achieved
by comparing chosen design solutions and accepting the best
solution. The course deals with a few popular optimization
algorithms and demonstrate their working principles. The algorithms
and demonstrate their working principles. The algorithms are
presented in a step-by-step format so that they can be easily
understood. At the end of the course a few case studies are
presented for their optimization.
UNIT-I: Introduction
Optimal problem formulation: design variables, constraints,
objective function, variable bounds optimization algorithms.
UNIT-II: Single variable optimization algorithms
Optimality criteria; bracketing method such as bounding phase
method; region elimination methods such as internal halving and
golden section research method.
UNIT-III: Multivariable optimization algorithms
Optimality criteria; unidirectional search method, direct search
method such as simplex method; gradient based method such as a
Newtons method.
UNIT-IV: Constrained optimization algorithms
Kuhy-Tucker conditions; transformation method such as penalty
function method; sensitivity analysis; variable elimination
method.
UNIT-V: Specialized algorithms
Integer programming, penality function method, geometric
programming
Case studies: optimal design of a truss, ammonia reactor, cans
suspension.
Text books:
Optimization for engineering design(algorithms examples)
By kalyammoy Deb, prentice Hall of India8th printing: July
2005.
Reference books:
1.planning analysis ¶meter design optimization Wu.Wiley
India-New Delhi.
