Advanced Optimization Techniques Ind Engg & Mang 6th Sem Syllabus for BE 2017 Regulation Anna Univ (Professional Elective II) detail syllabus for Industrial Engineering & Management (Ind Engg & Mang), 2017 regulation is collected from the Anna Univ official website and presented for students of Anna University. The details of the course are: course code (IE8071), Category (PE), Contact Periods/week (3), Teaching hours/week (3), Practical Hours/week (0). The total course credits are given in combined syllabus.
For all other ind engg & mang 6th sem syllabus for be 2017 regulation anna univ you can visit Ind Engg & Mang 6th Sem syllabus for BE 2017 regulation Anna Univ Subjects. For all other Professional Elective II subjects do refer to Professional Elective II. The detail syllabus for advanced optimization techniques is as follows.
Course Objective:
- To gain knowledge about nonlinear and multi-objective optimization models.
- To get exposure to meta heuristic algorithms.
Unit I
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Unit II
Non-Linear Optimization – I
Types of Non-linear programming problems, unconstrained optimization, KKT conditions for constrained optimization, Quadratic programming
Unit III
Non-Linear Optimization – II
Separable programming, Convex programming, Non-convex programming, Geometric programming, Stochastic programming
Unit IV
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Unit V
Non-Traditional Optimization – II
Neural network basics – learning rules – single layer – multi-layer networks , Basic concepts of fuzzy sets, membership functions. Basic operations on fuzzy sets, Properties of fuzzy sets, Fuzzy relations. Propositional logic and Predicate logic, fuzzy If – Then rules, fuzzy mapping rules and fuzzy implication functions, Applications
Course Outcome:
- Solve a nonlinear problem through its linear approximation.
- Solve a multi-objective problem through weighted and constrained methods.
- Acquire an idea about the various direct and indirect search methods.
Text Books:
- Frederick K. Hiller, Bodhibrata Nag, Preetam Basu, Geralld J. Lieberman, Introduction to Operations Research, Mc-Graw Hill, 2011
- S. Rajasekaran and G.A.Vijaylakshmi Pai.. Neural Networks Fuzzy Logic, and Genetic Algorithms, Prentice Hall of India, 2006
References:
- Singiresu S Rao, Engineering Optimization, Wiley, 1998.
- Kalyanmoy Deb, Optimization for Engineering Design, PHI, 2012.
For detail syllabus of all other subjects of BE Ind Engg & Mang, 2017 regulation do visit Ind Engg & Mang 6th Sem syllabus for 2017 Regulation.
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