Title
Firefly algorithm to solve a project scheduling problem
Date Issued
01 January 2016
Access level
metadata only access
Resource Type
conference paper
Author(s)
Crawford B.
Johnson F.
Valencia C.
Paredes F.
Publisher(s)
Springer Verlag
Abstract
This paper describes the Software Project Scheduling Problem (SPSP) as a combinatorial optimization problem. In this problem raises the need for a process to assign a set of resources to tasks for a project in a given time, trying to decrease the duration and cost. The workers are the main resource in the project. We present the design of the resolution model to solve the SPSP using an algorithm of fireflies (Firefly Algorithm, FA). We illustrate the experimental results in order to demonstrate the viability and soundness of our approach.
Start page
449
End page
458
Volume
464
Language
English
OCDE Knowledge area
Ingeniería de sistemas y comunicaciones Ciencias de la computación
Scopus EID
2-s2.0-84964797895
Source
Advances in Intelligent Systems and Computing
Resource of which it is part
Advances in Intelligent Systems and Computing
ISSN of the container
21945357
ISBN of the container
9783319336237
Conference
5th Computer Science On-line Conference, CSOC 2016
Sponsor(s)
Broderick Crawford is supported by Grant CONICYT/FONDECYT/ REGULAR/1140897, Ricardo Soto is supported by Grant CONICYT/FONDECYT/INICIACION/ 11130459, Fernando Paredes is supported byGrant CONICYT/FONDECYT/REGULAR/1130455, Franklin Johnson is supported by Postgraduate Grant PUCV 2015.
Sources of information: Directorio de Producción Científica Scopus