GENETIC ALGORITHM BASED TRAIN SIMULATION USING CONCURRENT ENGINEERING

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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

1.0INTRODUCTION

1.1STATEMENT OF PROBLEM

1.2AIMS AND OBJECTIVE

1.3PURPOSE OF STUDY

1.4SCOPE OF THE STUDY

1.5LIMITATION OF THE STUDY

1.6DEFINITION OF TERMS

CHAPTER TWO

2.0LITERATURE REVIEW

CHAPTER THREE

3.0METHODOLOGY FOR FACT FINDING AND DETAILED DISCUSSION OF THE SUBJECT MATTER

3.1METHODOLOGY FOR FACT FINDING

3.2DETAILED DISCUSSION OF THE SUBJECT MATTER

CHAPTER FOUR

4.0THE FUTURE, IMPLICATIONS AND CHALLENGES OF THE SUBJECT MATTER FOR THE SOCIETY

4.1THE FUTURE

4.2IMPLICATIONS

4.3CHALLENGES OF THE SUBJECT MATTER FOR THE SOCIETY

CHAPTER FIVE

5.0SUMMARY, RECOMMENDATION AND CONCLUSION

5.1SUMMARY

5.2RECOMMENDATION

5.3CONCLUSION

REFERENCES

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GENETIC ALGORITHM BASED TRAIN SIMULATION USING CONCURRENT ENGINEERING

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