The Research and Solutions to the Multi-constrained Concurrent Optimization Problem in Automatic Test Paper Tasks

DOI

10.2991/emeit.2012.12How to use a DOI?

Keywords

Test Group Papers, Genetic Algorithm, Multi-Constraint Solving.

Abstract

The problem of the multi- constrained concurrent optimization is a difficult artificial intelligence one that exists widely in the real life and confuses humans for years. Such as: the operating frequency of planes and trains, the course arrangement in school and the test paper grouping etc. This paper adopts the improved genetic algorithm, takes the test paper grouping problem for example, and puts forward a solution to the multi-constrained concurrent optimization problem. Finally, the paper aims to confirm the feasibility of this program through the experimental data.

Copyright

© 2012, 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  - Xin Zhang
AU  - Mianrong Yang
PY  - 2012/09
DA  - 2012/09
TI  - The Research and Solutions to the Multi-constrained Concurrent Optimization Problem in Automatic Test Paper Tasks
BT  - Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
PB  - Atlantis Press
SP  - 57
EP  - 61
SN  - 1951-6851
UR  - https://doi.org/10.2991/emeit.2012.12
DO  - 10.2991/emeit.2012.12
ID  - Zhang2012/09
ER  -