A multi-objective genetic algorithm for intelligent software project scheduling and team staffing

2013 ◽  
Vol 7 (1) ◽  
pp. 59-80 ◽  
Author(s):  
Constantinos Stylianou ◽  
Andreas S. Andreou
Keyword(s):  
Genetic Algorithm ◽  
Project Scheduling ◽  
Software Project ◽  
Multi Objective ◽  
Intelligent Software ◽  
Multi Objective Genetic Algorithm

A Multi-Objective Genetic Algorithm for Software Personnel Staffing for HCIM Solutions

2014 ◽  
Vol 6 (2) ◽  
pp. 26-41 ◽  
Author(s):  
Enrique Jiménez-Domingo ◽  
Ricardo Colomo-Palacios ◽  
Juan Miguel Gómez-Berbís
Keyword(s):  
Artificial Intelligence ◽  
Genetic Algorithm ◽  
Science Research ◽  
Software Project ◽  
Multi Objective ◽  
Research Areas ◽  
Personnel Staffing ◽  
Multi Objective Genetic Algorithm ◽  
Formal Framework ◽  
Computer Science Research

The pervasive potential of artificial intelligence techniques in business scenarios has gained momentum recently through the combination of traditional software engineering disciplines and cutting-edge computer science research areas such as neural networks or genetic algorithms. Following this approach, MORGANA is a platform to perform competence oriented personnel staffing in software projects by means of a multi-objective genetic algorithm. The system is designed to be part of global human and intellectual capital management solutions. The main goal of MORGANA is to assist software project managers, by providing a comprehensible artificial intelligence-based formal framework to optimize efficiency and improve person-role fit.

scholarly journals Unified Multi-Objective Genetic Algorithm for Energy Efficient Job Shop Scheduling

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Hongjing Wei ◽  
Shaobo Li ◽  
Huafeng Quan ◽  
Dacheng Liu ◽  
Shu Rao ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Energy Efficient ◽  
Job Shop ◽  
Job Shop Scheduling ◽  
Shop Scheduling ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm
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