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2021 | OriginalPaper | Chapter

Comparison of Metoheuristic Search Methods for the Task of Choosing a Rational Set of Measures to Risks’ Respond

Authors : Olha Pohudina, Anastasiia Morikova, Bohdan Haidabrus, Sergey Kiyko, Evgeniy Druzhinin

Published in: Integrated Computer Technologies in Mechanical Engineering - 2020

Publisher: Springer International Publishing

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Abstract

The relevance of project risk assessment has been analyzed. The processes of project risk management including process of planning a response to risk, which is substantial one, are described. It is proposed to carry out the selection of an optimal measures set for responding to risks using metoheuristic search methods. This search is a way to solve especially complex problems and is used in situations of significant lack of information. Two methods of metoheuristic search such as genetic algorithm and method of simulating annealing are considered. A feature of the genetic algorithm is the ability to simultaneously manipulate many parameters and generate new solutions through the utilization of crossing over and mutation operators. A feature of the simulated annealing method is the use of an ordered random search based on an analogy with the formation of a crystal structure in a substance, with a minimum energy upon cooling. It is chosen the project, which provides the minimum average duration in case of manifestation of risks, taking into account the assessment of their probability and consequences in the case of using a set of measures to respond to risks. The result is a vector whose length is equal to the number of risks planned in the analyzed project. Vector values correspond to one of the risk response options. The simulation is implemented using a computer program developed in the MATLAB system.

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Title: Comparison of Metoheuristic Search Methods for the Task of Choosing a Rational Set of Measures to Risks’ Respond
Authors: Olha Pohudina
Anastasiia Morikova
Bohdan Haidabrus
Sergey Kiyko
Evgeniy Druzhinin
Publisher: Springer International Publishing
Book: Integrated Computer Technologies in Mechanical Engineering - 2020
Print ISBN: 978-3-030-66716-0

Electronic ISBN: 978-3-030-66717-7

Copyright Year: 2021
DOI: https://doi.org/10.1007/978-3-030-66717-7_56

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