Genetic Algorithm Based Train Simulation Using Concurrent Engineering

GENETIC ALGORITHM BASED TRAIN SIMULATION USING CONCURRENT ENGINEERING

ABSTRACT
To control the traffic during the data transmission with out any loss of packets using genetic algorithm. In this the packets are transferred by frames using mac layer. So Error correction can be easily done. Genetic algorithm based train simulation using concurrent engineering” control over a single wired lane network, the project proposes a technique to transfer the data from one place to another without traffic. The main aim of project is to control over traffic in a single wired lane network and multiple destination networks. This paper formulates an optimization framework for traffic controlled genetic algorithm in single wired networks with the constraint imposed by the mac. We develop a distributed, genetic algorithm controls congestion control scheme, which is shown to be stable in the absence of propagation delays, and allocates bandwidth to various users in a proportionally fair manner.
TABLE OF CONTENTS
TITLE PAGE
CERTIFICATION
APPROVAL PAGE
DEDICATION
ACKNOWLEDGEMENT
ABSTRACT
TABLE OF CONTENTS
CHAPTER ONE
1.0 INTRODUCTION
1.1. STATEMENT OF PROBLEM
1.2 AIMS AND OBJECTIVE
1.3 PURPOSE OF STUDY
1.4 SCOPE OF THE STUDY
1.5 LIMITATION OF THE STUDY
1.6 DEFINITION OF TERMS
CHAPTER TWO
2.0 LITERATURE REVIEW
CHAPTER THREE
3.0 METHODOLOGY FOR FACT FINDING AND DETAILED DISCUSSION OF THE SUBJECT MATTER
3.1 METHODOLOGY FOR FACT FINDING
3.2 DETAILED DISCUSSION OF THE SUBJECT MATTER
CHAPTER FOUR
4.0 THE FUTURE, IMPLICATIONS AND CHALLENGES OF THE SUBJECT MATTER FOR THE SOCIETY
4.1 THE FUTURE
4.2 IMPLICATIONS
4.3 CHALLENGES OF THE SUBJECT MATTER FOR THE SOCIETY
CHAPTER FIVE
5.0 SUMMARY, RECOMMENDATION AND CONCLUSION
5.1 SUMMARY
5.2 RECOMMENDATION
5.3 CONCLUSION
REFERENCES

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