Title
A software project management problem solved by firefly algorithm
Date Issued
01 January 2016
Access level
metadata only access
Resource Type
conference paper
Author(s)
Crawford B.
Johnson F.
Misra S.
Olguín E.
Publisher(s)
Springer Verlag
Abstract
In software project management there are several problems to deal, one of those is the Software Project Scheduling Problem (SPSP). This problem requires to assign a set of resources to tasks for a given project, trying to decrease the duration and cost of the whole project. The workers and their skills are the main resources in the project. In this paper we present the SPSP as a combinatorial optimization problem and a novel approach to solve SPSP by a Firefly algorithm. Firefly algorithm is a new metaheuristic based on the behaviour of the firefly. We present the design of the resolution model to solve the SPSP using an algorithm of fireflies and we illustrate some experimental results in order to demonstrate the viability and soundness of our approach.
Start page
40
End page
49
Volume
9790
Language
English
OCDE Knowledge area
Ingeniería de sistemas y comunicaciones
Scopus EID
2-s2.0-84978249309
ISBN
9783319420912
Source
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Resource of which it is part
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN of the container
03029743
ISBN of the container
978-331942091-2
Conference
16th International Conference on Computational Science and Its Applications, ICCSA 2016
Sponsor(s)
Beijing University of Post and Telecommunication, Chinaet Springer International Publishing AG, Switzerland State Key Laboratory of Networking and Switching Technology, China University of Perugia, Italy
Sources of information: Directorio de Producción Científica Scopus