GA-Based Equipment Support Resource Leveling Optimization

DOI

10.2991/ssemse-15.2015.207How to use a DOI?

Keywords

Resource leveling; Equipment support; Genetic algorithm; Network planning; Optimization

Abstract

Equipment support decision-making is the important foundation to effectively organize equipment support. Equipment support is dependent on various support resources. The less the fluctuation of resource requirement during the project, the more advantageous the organization and carrying out of equipment support tasks in line with the predetermined schedule. Resource leveling optimization is the basic approach to achieve resource requirement leveling. Traditional exact and heuristic algorithms are inefficient in solving the problems even of medium scale. Genetic algorithm with repairing operator is utilized to overcome drawbacks of traditional methods. The performance of the adopted method is demonstrated by obtaining the optimal or near-optimal solutions to the simulated problems.

Copyright

© 2015, 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  - J.C. Wang
AU  - M. Wei
AU  - Y.F. Shi
PY  - 2015/11
DA  - 2015/11
TI  - GA-Based Equipment Support Resource Leveling Optimization
BT  - Proceedings of the 2015 International Conference on Social Science, Education Management and Sports Education
PB  - Atlantis Press
SP  - 802
EP  - 805
SN  - 2352-5398
UR  - https://doi.org/10.2991/ssemse-15.2015.207
DO  - 10.2991/ssemse-15.2015.207
ID  - Wang2015/11
ER  -