Artificial Intelligence Network Load Balancing Using Ant Colony Optimization

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ARTIFICIAL INTELLIGENCE NETWORK LOAD BALANCING USING ANT COLONY OPTIMIZATION

CHAPTER ONE

INTRODUCTION

  • BACKGROUND OF THE STUDY

 Artificial intelligence (AI) is defined as intelligence exhibited by an artificial entity. Such a system is generally assumed to be a computer. Although AI has a strong science fiction connotation, it forms a vital branch of computer science, dealing with intelligent

behavior, learning and version in machines. Research in AI is concerned with producing machines to mechanize tasks requiring

intelligent behavior. Examples include control, planning and preparation, the ability to answer diagnostic and consumer questions, handwriting, speech, and facial recognition.  As such, it has become a scientific discipline, focused on providing solutions to real life problems. AI systems are now in routine use in economics, medicine, engineering and the martial, as well as being built into many common home computer software applications, traditional policy games like computer chess and other video games. AI divides roughly into two schools of thought: Conventional AI

Conventional AI mostly involves methods now classified as machine learning, characterized by formalism and statistical analysis.

This is also known as symbolic AI, logical AI, neat AI and Good Old Fashioned Artificial Intelligence (GOFAI).

  • Expert systems: apply reasoning capabilities to reach a conclusion. An expert system can process large amounts of known

information and provide conclusions based on them.

  • Case based reasoning

  • Bayesian networks

  • Behavior based AI: a modular method of building AI systems by hand.

Computational Intelligence (CI)

Computational Intelligence involves iterative growth or learning (e.g. parameter tuning e.g. in connectionist systems). Learning is based on empirical data and is associated with non-symbolic AI, scruffy AI and Neural networks: systems with very strong pattern recognition capabilities.

  • Fuzzy systems: techniques for reasoning under uncertainty, has been widely used in modern industrial and consumer product control systems.

  • Evolutionary computation: applies biologically inspired concepts such as populations, mutation and survival of the fittest to generate increasingly better solutions to the problem. These methods most notably divide into evolutionary algorithms (e.g. genetic algorithms) and swarm intelligence (e.g. ant algorithms).

Artificial Intelligence Network Load Comparison in Ant Colony Optimization (IJIRST/ Volume 4 / Issue 4/ 012) All rights reserved by www.ijirst.org 61

American Association for Artificial Intelligence (AAAI) Founded in 1979, the American Association for Artificial Intelligence (AAAI) is a nonprofit scientific society devoted to advancing the scientific considerate of the mechanisms underlying thought and intelligent behavior and their embodiment in machines. AAAI also aims to increase public understanding of artificial intelligence, improve the teaching and training of AI practitioners, and provide guidance for research planners and funders concerning the importance and potential of current AI developments and future directions.

   STATEMENT OF THE PROBLEM

 The problem confronting the study is the appraisal and design of  artificial intelligence network load balancing using ant colony optimization.

 OBJECTIVE OF THE STUDY

  The  objective of the study is the appraisal and design of  artificial intelligence network load balancing using ant colony optimization.

 SIGNIFICANCE OF THE STUDY

 The study shall proffer a design of  artificial intelligence network load balancing using ant colony optimization.

 SCOPE OF THE STUDY

 The study focuses on the appraisal and design of artificial intelligence network load balancing using ant colony optimization.

 LIMITATION OF THE STUDY

The study was confronted by logistics constraint.

  • DEFINITION OF TERMS

 ARTIFICIAL INTELLIGENCE DEFINED

 Artificial intelligence (AI) is defined as intelligence exhibited by an artificial entity. Such a system is generally assumed to be a

computer. Although AI has a strong science fiction connotation, it forms a vital branch of computer science, dealing with intelligent behavior, learning and version in machines. Research in AI is concerned with producing machines to mechanize tasks requiring intelligent behavior.

ARTIFICIAL INTELLIGENCE NETWORK LOAD BALANCING USING ANT COLONY OPTIMIZATION

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