IM3005 ADVANCED OPTIMIZATION TECHNIQUES SYLLABUS | ANNA UNIVERSITY BE INDUSTRIAL ENGINEERING AND MANAGEMENT 8TH SEMESTER SYLLABUS REGULATION 2008 2011 2012-2013 BELOW IS THE ANNA UNIVERSITY 8TH SEMESTER B.E INDUSTRIAL ENGINEERING AND MANAGEMENT DEPARTMENT SYLLABUS, TEXTBOOKS, REFERENCE BOOKS,EXAM PORTIONS,QUESTION BANK,PREVIOUS YEAR QUESTION PAPERS,MODEL QUESTION PAPERS, CLASS NOTES, IMPORTANT 2 MARKS, 8 MARKS, 16 MARKS TOPICS. IT IS APPLICABLE FOR ALL STUDENTS ADMITTED IN THE YEAR 2011 2012-2013 (ANNA UNIVERSITY CHENNAI,TRICHY,MADURAI, TIRUNELVELI,COIMBATORE), 2008 REGULATION OF ANNA UNIVERSITY CHENNAI AND STUDENTS ADMITTED IN ANNA UNIVERSITY CHENNAI DURING 2009
IM3005 ADVANCED OPTIMIZATION TECHNIQUES LT P C
3 0 0 3
OBJECTIVE
Some of the Operations Research techniques which are not covered in the first level
course are dealt with.
UNIT I MULTI CRITERIA MODELS 9
Data Envelopment Analysis, Multicriteria Decision Problems- Goal Programming,
Analytic Hierarchy Process
UNIT II NON –LINEAR MODELS -I 9
Types of Non-linear programming problems, unconstrained optimization, Linearly
Constrained Optimization, Quadratic Programming, Convex Programming,
UNIT III NON –LINEAR MODELS –II 9
KKT conditions for constrained optimization, Separable programming, Non-convex
programming, Geometric programming
UNIT IV MARKOV PROCESSES 9
Markov Processes, Neural network based optimization
62
UNIT V METAHEURISTICS 9
Metaheuristics - Genetic Algorithms, Simulated Annealing, Ant Colony Optimization.
TOTAL: 45 PERIODS
REFERENCES:
1. Hillier and Liberman, Introduction to Operations Research, TMH, 2000
2. Singiresu S Rao, Engineering Optimization, Wiley,1998
3. Kalyanmoy Deb, Optimization for Engineering Design, PHI,2000
4. David R. Anderson, et al , An Introduction to Management Science –
Quantitative approaches to Decision Making, Thomson,2003
5. Fred Glover et al., Handbook of Metaheuristics, Kluwer,2003
IM3005 ADVANCED OPTIMIZATION TECHNIQUES LT P C
3 0 0 3
OBJECTIVE
Some of the Operations Research techniques which are not covered in the first level
course are dealt with.
UNIT I MULTI CRITERIA MODELS 9
Data Envelopment Analysis, Multicriteria Decision Problems- Goal Programming,
Analytic Hierarchy Process
UNIT II NON –LINEAR MODELS -I 9
Types of Non-linear programming problems, unconstrained optimization, Linearly
Constrained Optimization, Quadratic Programming, Convex Programming,
UNIT III NON –LINEAR MODELS –II 9
KKT conditions for constrained optimization, Separable programming, Non-convex
programming, Geometric programming
UNIT IV MARKOV PROCESSES 9
Markov Processes, Neural network based optimization
62
UNIT V METAHEURISTICS 9
Metaheuristics - Genetic Algorithms, Simulated Annealing, Ant Colony Optimization.
TOTAL: 45 PERIODS
REFERENCES:
1. Hillier and Liberman, Introduction to Operations Research, TMH, 2000
2. Singiresu S Rao, Engineering Optimization, Wiley,1998
3. Kalyanmoy Deb, Optimization for Engineering Design, PHI,2000
4. David R. Anderson, et al , An Introduction to Management Science –
Quantitative approaches to Decision Making, Thomson,2003
5. Fred Glover et al., Handbook of Metaheuristics, Kluwer,2003
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