Research on New Methods of Multi-project Based on Entropy and Particle Swarm Optimization for Resource Leveling Problem

DOI

10.2991/isaeece-17.2017.40How to use a DOI?

Keywords

project management; multiple resources leveling optimization; resource entropy

Abstract

The resource leveling optimization is an important content of project management, and the optimization of resource leveling are helpful to solve the contradiction between the requirements and supply, which is of significant importance to the project management. The existing research focus on the innovation of the method, and the research on the innovation of the resource equilibrium model are relatively few. Therefore, in this paper, a resource leveling optimization model of multi-project based on entropy function is designed. Simultaneously, genetic algorithm is adopted to solve this problem.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wenmin Han
AU  - Binbin Zhu
PY  - 2017/03
DA  - 2017/03
TI  - Research on New Methods of Multi-project Based on Entropy and Particle Swarm Optimization for Resource Leveling Problem
BT  - Proceedings of the 2017 2nd International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2017)
PB  - Atlantis Press
SP  - 215
EP  - 221
SN  - 2352-5401
UR  - https://doi.org/10.2991/isaeece-17.2017.40
DO  - 10.2991/isaeece-17.2017.40
ID  - Han2017/03
ER  -