Optimal arrangement of ration items into container using modified forest optimization algorithm
- Title
- Optimal arrangement of ration items into container using modified forest optimization algorithm
- Creator
- Ravichandran S.K.; Sasi A.
- Description
- Planning a shrewd framework for loading the ration goods into the container is one of the significant objectives in the mission of smart city advancement in India. This optimal container loading system is designed for the arrangement of ration goods into the container using Modified Forest Optimization algorithm for safe and secure delivery. The effectiveness of the proposed approach has been demonstrated using BR datasets and compared with different optimization algorithms. From the experiment, it is observed that the proposed Modified Forest Optimization algorithm is implemented in java meets the objective of loading the ration items into the container in an optimal fashion. Further, it is observed that the order of arrangement predicted by the proposed algorithm is found to be optimal than other competitive optimization algorithms. 2020, Engg Journals Publications. All rights reserved.
- Source
- Indian Journal of Computer Science and Engineering, Vol-11, No. 4, pp. 334-346.
- Date
- 2020-01-01
- Publisher
- Engg Journals Publications
- Subject
- Container loading; Fair Price Shop; Modified Forest Optimization algorithm; Shrewd framework; Smart City
- Coverage
- Ravichandran S.K., School of Engineering and Technology, Department of Computer Science and Engineering, Christ University, Bengaluru, Karnataka, India; Sasi A., School of Engineering, Department of Computer Science and Engineering Presidency University, Bengaluru, Karnataka, India
- Rights
- All Open Access; Gold Open Access
- Relation
- ISSN: 9765166
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Ravichandran S.K.; Sasi A., “Optimal arrangement of ration items into container using modified forest optimization algorithm,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 28, 2025, https://archives.christuniversity.in/items/show/16282.