Applied Soft Computing detailed syllabus for Industrial Engineering (Industrial) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the Industrial students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Industrial Engineering 6th Sem scheme and its subjects, do visit Industrial 6th Sem 2021 regulation scheme. For Professional Elective-VIII scheme and its subjects refer to Industrial Professional Elective-VIII syllabus scheme. The detailed syllabus of applied soft computing is as follows.
Course Objectives:
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Unit I
INTRODUCTION 9
History and Applications of Artificial Intelligence — Algorithmic versus Heuristic reasoning, Representation and Intelligence. Knowledge Representation: Rule based, Model based, Case based and hybrid systems. Logic based Abductive Inference, Stochastic approach to uncertainty.
Unit II
GENETIC ALGORITHMS 9
Introduction to Genetic Algorithms (GA) : Reproduction, Cross over, Mutation -Applications andsoftware — Intelligent Agents – Multiple Agents and Data Mining -Distributed Artificial Intelligence.
Unit III
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Unit IV
FUZZY LOGIC 9
Crisp set versus Fuzzy Sets – Operations on Fuzzy Sets -Fuzzy Arithmetic – Fuzzy Relations – Membership Functions- Fuzzy Rules and Fuzzy Reasoning – Fuzzy Inference Systems – FuzzyExpert Systems — Fuzzy Decision Making.
Unit V
HYBRID SYSTEMS 9
Adaptive Neuro-Fuzzy Inference Systems – Hybrid intelligence systems – Opportunistic Scheduling and Pricing Strategies for Automated Contracting in Supply Chains – AHP-ANP – SEM – DEA .
Course Outcomes:
- Recognize the feasibility of applying a soft computing methodology for a particular problem
- Apply genetic algorithms to combinatorial optimization problems
- Apply neural networks to pattern classification problems
- Apply fuzzy logic and reasoning to handle uncertainty and solve engineering problems
- Design hybrid system to revise the principles of soft computing in various applications
Text Books:
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Reference Books:
- Mitchell Melanie, “An Introduction to Genetic Algorithm”, Prentice Hall, 1998.
- David E. Goldberg, “Genetic Algorithms in Search, Optimization and Machine Learning”, AddisonWesley, 1997.
- Jacek M. Zurada, “Introduction to Artificial Neural Systems”, PWS Publishers, 1992.
- Prasad, Bhanu (Ed.), Soft Computing Applications in Business Series: Studies in Fuzzinessand Soft Computing, Vol. 230, 2010
- Aliev, Rafik Aziz, Fazlollahi, Bijan, Aliev, Rashad Rafik, Soft Computing and its Applications inBusiness and EconomicsSeries: Studies in Fuzziness and Soft Computing, Vol. 157, 2004
For detailed syllabus of all the other subjects of Industrial Engineering 6th Sem, visit Industrial 6th Sem subject syllabuses for 2021 regulation.
For all Industrial Engineering results, visit Anna University Industrial all semester results direct link.