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

Report Access / View File

Overall Rating

0

5 Star

(0)

4 Star

(0)

3 Star

(0)

2 Star

(0)

1 Star

(0)

APA

LB3KrQR5c0006fde3c696.03592209, X. (2018). GENETIC ALGORITHM BASED TRAIN SIMULATION USING CONCURRENT ENGINEERING. Afribary. Retrieved from https://beta.afribary.com/works/genetic-algorithm-based-train-simulation-using-concurrent-engineering-1056

MLA 8th

LB3KrQR5c0006fde3c696.03592209, XuZJAx35c0006fde31d75.71658929 "GENETIC ALGORITHM BASED TRAIN SIMULATION USING CONCURRENT ENGINEERING" Afribary. Afribary, 29 Jan. 2018, https://beta.afribary.com/works/genetic-algorithm-based-train-simulation-using-concurrent-engineering-1056. Accessed 28 Apr. 2025.

MLA7

LB3KrQR5c0006fde3c696.03592209, XuZJAx35c0006fde31d75.71658929 . "GENETIC ALGORITHM BASED TRAIN SIMULATION USING CONCURRENT ENGINEERING". Afribary, Afribary, 29 Jan. 2018. Web. 28 Apr. 2025. < https://beta.afribary.com/works/genetic-algorithm-based-train-simulation-using-concurrent-engineering-1056 >.

Chicago

LB3KrQR5c0006fde3c696.03592209, XuZJAx35c0006fde31d75.71658929 . "GENETIC ALGORITHM BASED TRAIN SIMULATION USING CONCURRENT ENGINEERING" Afribary (2018). Accessed April 28, 2025. https://beta.afribary.com/works/genetic-algorithm-based-train-simulation-using-concurrent-engineering-1056

GENETIC ALGORITHM BASED TRAIN SIMULATION USING CONCURRENT ENGINEERING

0

Document Details

Related Works