Using a genetic algorithm as a decision support tool for the deployment of Fiber Optic Networks

2012 ◽  
Author(s):  
Michael Kampouridis ◽  
Tim Glover ◽  
Ali Rais Shaghaghi ◽  
Edward Tsang
Keyword(s):  
Genetic Algorithm ◽  
Decision Support ◽  
Fiber Optic ◽  
Decision Support Tool ◽  
Support Tool ◽  
Fiber Optic Networks

scholarly journals Intelligent system for recruitment decision making using an alternative parallel-sequential genetic algorithm

2021 ◽  
Vol 22 (1) ◽  
pp. 385
Author(s):  
Said Tkatek ◽  
Saadia Bahti ◽  
Otman Abdoun ◽  
Jaafar Abouchabaka
Keyword(s):  
Genetic Algorithm ◽  
Decision Making ◽  
Decision Support ◽  
Intelligent System ◽  
Decision Support Tool ◽  
Good Decision ◽  
Support Tool ◽  
Hr Managers ◽  
The Right ◽  
Recruitment Model

<p>The human resources (HR) manager needs effective tools to be able to move away from traditional recruitment processes to make the good decision to select the good candidates for the good posts. To do this, we deliver an intelligent recruitment decision-making method for HR, incorporating a recruitment model based on the multipack model known as the NP-hard model. The system, which is a decision support tool, often integrates a genetic approach that operates alternately in parallel and sequentially. This approach will provide the best recruiting solution to allow HR managers to make the right decision to ensure the best possible compatibility with the desired objectives. Operationally, this system can also predict the altered choice of parallel genetic algorithm (PGA) or sequential genetic algorithm (SeqGA) depending on the size of the instance and constraints of the recruiting posts to produce the quality solution in a reduced CPU time for recruiting decision-making. The results obtained in various tests confirm the performance of this intelligent system which can be used as a decision support tool for intelligently optimized recruitment.</p>

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