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Subject Syllabus

ME-604 (B) - Optimization Techniques

ME · Semester 6

Course Modules

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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 Optimality criteria Review of basic calculus concepts Global optimality

Review of Linear programming methods for optimum design Post optimality analysis Application of LPP models in design and manufacturing

Gradient based method: Cauchy's steepest descent method Newton's method Conjugate gradient method

Direct methods Penalty function methods Steepest descent method Engineering applications of constrained and unconstrained algorithms

Genetic Algorithms Simulated Annealing Ant colony optimization Tabu search Neural-Network based Optimization Fuzzy optimization techniques Applications Use of Matlab to solve optimization problems