GENETIC ALGORITHM FOR SOLVING SIMPLE MATHEMATICAL EQUALITY PROBLEM
Objective
This paper explain genetic algorithm in brief with the help of flowchart and solve the simple mathematical equality problem with the help of genetic algorithm.
Abstract
This paper explain genetic algorithm in brief with the help of flowchart and solve the simple mathematical equality problem with the help of genetic algorithm. Genetic algorithms are used to generate high quality solutions for optimizations problems and search problems. Genetic Algorithm is a popular optimization tool in the field of natural science, finance and economics, mathematics, earth science, industry, management, biological science, earth science and computer science. Genetic Algorithms are based on the ideas of natural selection and genetics. Genetic algorithms follow the process of evolution and natural selection which means those species who can adapt to changes in their environment are able to survive and reproduce and go to next generation and those who are not able to adapt changes they will be discarded. The effectiveness of the proposed method is synthesized and simulated using Xilinx-Vivado.
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Block Diagram
Specifications
Specifications:
Software Requirements:
· Xilinx Vivado Tool
· HDL: Verilog
Hardware Requirements:
· Microsoft® Windows XP
· Intel® Pentium® 4 processor or Pentium 4 equivalent with SSE support
· 512 MB RAM
· 100 MB of available disk space
Learning Outcomes
Learning Outcomes:
- Basics of Digital Electronics
- VLSI design Flow
- Introduction to Verilog Coding
- Different modeling styles in Verilog
o Data Flow modeling
o Structural modeling
o Behavioral modeling
o Mixed level modeling
- Introduction to genetic algorithm
- Knowledge on floating point
- Different decimal point representations
- Knowledge on floating point multiplication
- Knowledge on FSM
- Applications in real time
· Xilinx ISE 14.7/Xilinx Vivado for design and simulation
· Generation of Netlist
· Solution providing for real time problems
· Project Development Skills:
o Problem Analysis Skills
o Problem Solving Skills
o Logical Skills
o Designing Skills
o Testing Skills
o Debugging Skills
o Presentation Skills
o Thesis Writing Skills
Paper Publishing
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