Resources programming model of government investment project group based on improved firefly algorithm
Year of publication: |
2017
|
---|---|
Authors: | Wu, Yunna ; Xiao, Xinli ; Song, Zongyun |
Published in: |
International journal of technology, policy and management : IJTPM. - Olney, Bucks. : Inderscience Enterprises, ISSN 1468-4322, ZDB-ID 2113290-2. - Vol. 17.2017, 2, p. 123-138
|
Subject: | AOPG | administration office of project group | EC | expert committee | FA | firefly algorithm | GA | genetic algorithm | GDA | Gaussian disturbance algorithm | GFA | Gaussian firefly algorithm | GIP | government investment project | GIPG | government investment project group | PSO | particle swarm optimisation | resource programming model | Algorithmus | Algorithm | Mathematische Optimierung | Mathematical programming | Evolutionärer Algorithmus | Evolutionary algorithm | Projektmanagement | Project management | Theorie | Theory | Öffentliche Investition | Public investment |
-
Karthikeyan, S., (2016)
-
A hybrid PSO optimised virtual machine scheduling algorithm in cloud computing
Karthikeyan, P., (2020)
-
Kumar, Amit, (2018)
- More ...
-
Wu, Yunna, (2017)
-
Song, Zongyun, (2019)
-
Niu, Dongxiao, (2017)
- More ...