@inproceedings{0df6cbc363a74c319a88f6e15f63ac01,
title = "Resource allocation and optimization of simulation models based on improved genetic algorithm in high-throughput simulation",
abstract = "For the resource allocation and optimization problem of simulation model in high-throughput simulation, an extended genetic algorithm was proposed to improve the throughput of the simulation application. New coding approach and fitness function were designed to satisfy the model dependency. Corresponding algorithm for generating the initial population was also investigated. The experimental results showed that the extended GA can optimize the resource allocation and achieve better performance and reduce the execution time of simulation applications.",
keywords = "Genetic algorithm, High-throughput simulation, Resource allocation",
author = "Wei Zhao and Yanlong Zhai and Han Zhang and Duzheng Qing",
note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media Singapore 2016.; 16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016 ; Conference date: 08-10-2016 Through 11-10-2016",
year = "2016",
doi = "10.1007/978-981-10-2669-0_67",
language = "English",
isbn = "9789811026683",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "632--641",
editor = "Lin Zhang and Xiao Song and Yunjie Wu",
booktitle = "Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems - 16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016, Proceedings",
address = "Germany",
}