A NEW METHOD FOR SOLVING DEADLOCK USING GENETIC ALGORITHMS

Journal Title: International Journal of Civil Engineering and Technology - Year 2019, Vol 10, Issue 3

Abstract

A deadlock is reached when multiple processes share the same resource and prevent each other for accessing the resource. Resource organization is considered the optimal solution to solve this problem. This paper presents a novel approach of steady state genetic algorithms hybrid with banker's algorithm. The sequence of operation starts with features extraction that is used for feeding the Genetic algorithm optimizer. The chromosome structure in this method is the one operation processes correlated with three types of genetic operators: The one-point crossover (1X), two point crossover (2X), and Uniform crossover (UX). Observe a large number of optimal solutions that avoids the Dead Lock system as a safe state

Authors and Affiliations

NADA THANOON AHMED, NARJIS MEZAAL SHATI

Keywords

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  • EP ID EP46831
  • DOI -
  • Views 185
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How To Cite

NADA THANOON AHMED, NARJIS MEZAAL SHATI (2019). A NEW METHOD FOR SOLVING DEADLOCK USING GENETIC ALGORITHMS. International Journal of Civil Engineering and Technology, 10(3), -. https://europub.co.uk/articles/-A-46831