Adaptive Optimization Method of Resource Structure in Uncertain Environment Based on Cloud Genetic Algorithm

DOI

10.2991/msota-16.2016.61How to use a DOI?

Keywords

platform-task relation; uncertainty; resource structure; adaptive optimization; cloud genetic algorithm

Abstract

Aiming at the influence of uncertain factors that impact on tasks and platforms in battlefield environment,adaptive optimization method based on uncertain event is proposed. Taking the uncertainty of platform loss and task implementing time into consideration, established a resource structure optimizing model which takes the minimum mission execution time as object function. And a Resource Structure Based on Cloud Genetic Algorithm is designed to adjust or redesign the platform resource structure according to the influence that uncertain events impact on organization resource capability while triggering optimization. The availability and validity of the algorithm is proved by demonstrating a simulation case of joint campaign.

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  - Mengchen Liao
AU  - Peng Sun
AU  - Jieyong Zhang
AU  - Junsheng Wu
PY  - 2016/12
DA  - 2016/12
TI  - Adaptive Optimization Method of Resource Structure in Uncertain Environment Based on Cloud Genetic Algorithm
BT  - Proceedings of 2016 International Conference on Modeling, Simulation and Optimization Technologies and Applications (MSOTA2016)
PB  - Atlantis Press
SP  - 282
EP  - 286
SN  - 2352-538X
UR  - https://doi.org/10.2991/msota-16.2016.61
DO  - 10.2991/msota-16.2016.61
ID  - Liao2016/12
ER  -