Solving the Software Project Scheduling Problem Using Intelligent Water Drops
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Date
2018
Journal Title
Journal ISSN
Volume Title
Publisher
Univ Osijek, Tech Fac
Open Access Color
GOLD
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
Within the category of project scheduling problems, there is a specific problem within the software industry referred to as the software project scheduling problem. The problem consists in the correct allocation of employees to the different tasks that make up a software project, bearing in mind time and cost restraints. To achieve this goal, the present work first uses metaheuristic intelligent water drops illustrating; this is a recent stochastic swarm-based method increasingly used for solving optimization problems. Finally, the results and comparisons with experiments performed with other techniques are presented, demonstrating the solidity of the approach presented.
Description
Misra, Sanjay/0000-0002-3556-9331; Rubio, Jose-Miguel/0000-0003-0377-4397
Keywords
combinational optimization, computational intelligence, intelligent water drops, metaheuristics, software project scheduling problem, metaheuristics, intelligent water drops, software project scheduling problem, computational intelligence, combinational optimization, TA1-2040, Engineering (General). Civil engineering (General)
Fields of Science
Citation
WoS Q
Q3
Scopus Q
Q3

OpenCitations Citation Count
N/A
Source
Tehnicki vjesnik - Technical Gazette
Volume
25
Issue
2
Start Page
350
End Page
357
PlumX Metrics
Citations
Scopus : 8
Captures
Mendeley Readers : 22
SCOPUS™ Citations
8
checked on Feb 11, 2026
Web of Science™ Citations
5
checked on Feb 11, 2026
Page Views
1
checked on Feb 11, 2026
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