MD3006 GENETIC ALGORITHM SYLLABUS | ANNA UNIVERSITY BE MEDICAL ELECTRONICS ENGINEERING 6TH SEMESTER SYLLABUS REGULATION 2008 2011 2012-2013 BELOW IS THE ANNA UNIVERSITY SIXTH SEMESTER B.E MEDICAL ELECTRONICS ENGINEERING 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
MD3006 GENETIC ALGORITHM L T P C
3 0 0 3
UNIT I 9
Fundamentals of genetic algorithm: A brief history of evolutionary computation-biological
terminology-search space -encoding- reproduction-elements of genetic algorithmgenetic
modeling-comparison of GA and traditional search methods-
UNIT II 9
Genetic technology: steady state algorithm - fitness scaling - inversion- Genetic
programming - Genetic Algorithm in problem solving
UNIT III 9
Genetic Algorithm in engineering and optimization-natural evolution –Simulated
annealing and Tabu search -Genetic Algorithm in scientific models and theoretical
foundations-
UNIT IV 9
Implementing a Genetic Algorithm – computer implementation - low level operator and
knowledge based techniques in Genetic Algorithm-
UNIT V 9
Applications of Genetic based machine learning-Genetic Algorithm and parallel
processors- composite laminates- constraint optimization- multilevel optimization- real
life problem
TOTAL: 45 PERIODS
64
REFERENCES:
1. Melanie Mitchell- ’An introduction to Genetic Algorithm’- Prentice-Hall of India- New
Delhi- Edition: 2004
2. David-E-Golberg- ’Genetic algorithms in search- optimization and machine learning’-
Addision-Wesley-1999
3. S-Rajasekaran and G-A Vijayalakshmi Pai-’Neural Networks- Fuzzy logic and
Genetic Algorithms- Synthesis and Applications’- Prentice Hall of India- New Delhi-
2003
4. Nils-J-Nilsson- “Artificial Intelligence- A new synthesis’- Morgan Kauffmann
Publishers Inc- San Francisco-California-1998
MD3006 GENETIC ALGORITHM L T P C
3 0 0 3
UNIT I 9
Fundamentals of genetic algorithm: A brief history of evolutionary computation-biological
terminology-search space -encoding- reproduction-elements of genetic algorithmgenetic
modeling-comparison of GA and traditional search methods-
UNIT II 9
Genetic technology: steady state algorithm - fitness scaling - inversion- Genetic
programming - Genetic Algorithm in problem solving
UNIT III 9
Genetic Algorithm in engineering and optimization-natural evolution –Simulated
annealing and Tabu search -Genetic Algorithm in scientific models and theoretical
foundations-
UNIT IV 9
Implementing a Genetic Algorithm – computer implementation - low level operator and
knowledge based techniques in Genetic Algorithm-
UNIT V 9
Applications of Genetic based machine learning-Genetic Algorithm and parallel
processors- composite laminates- constraint optimization- multilevel optimization- real
life problem
TOTAL: 45 PERIODS
64
REFERENCES:
1. Melanie Mitchell- ’An introduction to Genetic Algorithm’- Prentice-Hall of India- New
Delhi- Edition: 2004
2. David-E-Golberg- ’Genetic algorithms in search- optimization and machine learning’-
Addision-Wesley-1999
3. S-Rajasekaran and G-A Vijayalakshmi Pai-’Neural Networks- Fuzzy logic and
Genetic Algorithms- Synthesis and Applications’- Prentice Hall of India- New Delhi-
2003
4. Nils-J-Nilsson- “Artificial Intelligence- A new synthesis’- Morgan Kauffmann
Publishers Inc- San Francisco-California-1998
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