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Published in:

Volume 7 Issue 6
June-2020
eISSN: 2349-5162

Unique Identifier

JETIR2006476

Page Number

996-1004

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Title

An Implementation of Neural Network with Evolutionary Algorithm in Gaming Application

ISSN

2349-5162

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" An Implementation of Neural Network with Evolutionary Algorithm in Gaming Application ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.996-1004, June-2020, Available :http://www.jetir.org/papers/JETIR2006476.pdf

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Abstract

This paper focusses on Artificial Intelligence which is recently growing in many areas. We see various developments for technical systems, image processing and multimedia solutions. We can find applications of intelligent technologies for smart management of energetic systems and simulation models in thermal sciences also gaming industry is using various aspects of intelligent technologies. There are many interesting system models which support interactions in real time. Also computer systems support interesting application of gamification ideas. Among techniques of artificial intelligence very high impact is visible from evolutionary methods. Algorithms are based on various models of life from animals, insects or other. Systems which use various models seen in nature are used in image processing to track points of interest over images. Artificial intelligence (AI) techniques have been proven highly successful at the problems of navigation, task prioritization, and problem avoidance. Traditionally, humans have encoded rule-based AIs to create the behavior necessary to allow an automaton to achieve a specific task or set of tasks. Genetic programming (GP), however, has been proven to allow a computer to create human-competitive results. This thesis report is about artificial intelligence implementation in the famous game- “Snake”. This application is implemented with the help of artificial intelligence by using Genetic Algorithm and Artificial Neural Network. The Genetic Algorithm (GA) is a stochastic global search method that mimics the metaphor of natural biological evolution. Genetic Algorithms operate on a population of potential solutions applying the principle of survival of the fittest to produce (hopefully) better and better approximations to a solution. At each generation, a new set of approximations is created by the process of selecting individuals according to their level of fitness in the problem domain and breeding them together using operators borrowed from natural genetics. This process leads to the evolution of populations of individuals that are better suited to their environment than the individuals that they were created from, just as in natural adaption.

Key Words

Artificial neural network, evolutionary algorithm, evolutionary design, evolutionary training

Cite This Article

" An Implementation of Neural Network with Evolutionary Algorithm in Gaming Application ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp996-1004, June-2020, Available at : http://www.jetir.org/papers/JETIR2006476.pdf

Publication Details

Published Paper ID: JETIR2006476
Registration ID: 234669
Published In: Volume 7 | Issue 6 | Year June-2020
DOI (Digital Object Identifier):
Page No: 996-1004
ISSN Number: 2349-5162

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Cite This Article

" An Implementation of Neural Network with Evolutionary Algorithm in Gaming Application ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp996-1004, June-2020, Available at : http://www.jetir.org/papers/JETIR2006476.pdf




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