Proceedings of the 3rd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2019)

Research on JAVA Mobile Application Development Framework based on Ant Colony Optimization

Authors
Hongsheng Zhang
Corresponding Author
Hongsheng Zhang
Available Online July 2019.
DOI
10.2991/iccia-19.2019.29How to use a DOI?
Keywords
Ant colony optimization algorithm, JAVA mobile application; program, framework.
Abstract

The application framework is a reusable design component. It specifies the architecture of the application, clarifies the dependency relationship, responsibility allocation and control flow among the whole design, collaboration components. JAVA mobile application program. In order to deepen the readers' understanding of JAVA, this paper first introduces the technology, and develops a practical application for JAVA mobile application development. The registration mechanism is used to verify the validity. The problem is solved by an ant colony optimization algorithm. First, using state, decision making, and patterning of problems, it is easy to use ACO to solve. Research shows that the algorithm determines the stack allocation object by analyzing the Java source code at the compile stage, and identifies these objects with extension instructions. When the program runs, they will be directly assigned to Java. These objects are automatically added when the program leaves its scope. Released, other Java objects are still allocated to the heap and are recycled by the garbage collector.

Copyright
© 2019, 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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Volume Title
Proceedings of the 3rd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2019)
Series
Advances in Computer Science Research
Publication Date
July 2019
ISBN
10.2991/iccia-19.2019.29
ISSN
2352-538X
DOI
10.2991/iccia-19.2019.29How to use a DOI?
Copyright
© 2019, 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/).

Cite this article

TY  - CONF
AU  - Hongsheng Zhang
PY  - 2019/07
DA  - 2019/07
TI  - Research on JAVA Mobile Application Development Framework based on Ant Colony Optimization
BT  - Proceedings of the 3rd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2019)
PB  - Atlantis Press
SP  - 195
EP  - 199
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-19.2019.29
DO  - 10.2991/iccia-19.2019.29
ID  - Zhang2019/07
ER  -