Open AccessSolving Software Project Scheduling Problem using Whale Optimization Algorithm
Author(s) -
Taghreed Riyadh Alreffaee,
Marrwa Abd-AlKareem Alabajee
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/928/3/032084
Subject(s) - whale , computer science , software , scheduling (production processes) , optimization algorithm , soundness , job shop scheduling , algorithm , mathematical optimization , operations research , engineering , mathematics , fishery , programming language , biology , schedule , operating system
In the software projects, one of the essential and difficult problems faced by the managers in the competitive software industry is the Software Project Scheduling Problem (SPSP). With the increase in employees and tasks’ numbers the problem is becoming an NP-hard problem. The goal of this proposal is to resolve the problem of the software project scheduling with Whale optimization algorithm (WOA) and utilized it on various instances from three datasets. In order to prove the soundness and viability of Whale optimization algorithm (WOA), we illustrated some experimental results. This algorithm gave good outcomes for datasets that have a few tasks but failed to find feasible solutions when increasing the number of tasks.