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Roll No.
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Total No. of Questions : 08
Total No. of Pages : 01
M.Tech. (ECE) (2018 Batch) (Sem.-2)
EVOLUTIONARY ALGORITHMS
Subject Code : MTEC-PE4D-18
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M.Code: 76268
Time: 3 Hrs.
Max. Marks : 60
INSTRUCTIONS TO CANDIDATES :
- Attempt any FIVE questions out of EIGHT questions.
- Each question carries TWELVE marks.
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- What is optimization? Explain the various categories of optimization in detail.
- Explain the concept of simulated annealing with a suitable algorithm in detail.
- Explain Multi Objective Optimization and its principles in detail.
- Explain HPC paradigm with suitable diagram in detail.
- What is single objective optimization? Also explain crossovers and mutation in evolutionary algorithms.
- Explain how High Performance Computing (HPC)? Explain GPU Computing.
- What is Generalized Pareto-optimality (GPO)? Discuss the role of evolutionary algorithms in any engineering design case study.
- Write short notes on :
- GP
- PSO
- Gas
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NOTE : Disclosure of Identity by writing Mobile No. or Making of passing request on any page of Answer Sheet will lead to UMC against the Student.
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This download link is referred from the post: PTU M.Tech 2nd Semester Last 10 Years 2010-2020 Previous Question Papers|| Punjab Technical University