Home            Contact us            FAQs
    
      Journal Home      |      Aim & Scope     |     Author(s) Information      |      Editorial Board      |      MSP Download Statistics

     Research Journal of Applied Sciences, Engineering and Technology

    Abstract
2015(Vol.9, Issue:11)
Article Information:

Volume Constraint Model and Algorithm for the 0-1 Knapsack Problem

M.A. Ofosu, S.K. Amponsah and F. Appau-Yeboah
Corresponding Author:  M.A. Ofosu 
Submitted: ‎September ‎13, ‎2014
Accepted: ‎September ‎20, ‎2014
Published: April 15, 2015
Abstract:
Today’s economic environment has highlighted the importance of properly optimizing every organization’s asset including space and facilities portfolio. Reducing space cost by using space more efficiently can release funds for other more important activities according to the National Audit Office (NAO) space management in higher education. Utilization rate is a function of a frequency rate and an occupancy rate. The frequency rate measures the proportion of time that space is used compared to its capacity. In this study, we have proposed a new model formulation and algorithm design for the 0-1 knapsack problem. Our proposed algorithm considers volume or space occupancy of the items as paramount, since no matter how profitable the item is to the camper if the volume or the size is bigger than that of the volume of the knapsack since every knapsack also has a volume, there would be no need to force it into the knapsack. The most interesting thing about the algorithm is that, it eliminates symmetric branching tree and the lazy sorting used by most algorithms in the literature. Computational experiments provided also show that our proposed algorithm can be among the most efficient algorithms available in the literature.

Key words:  0-1 knapsack problem, algorithm development, knapsack model, volume constraint, , ,
Abstract PDF HTML
Cite this Reference:
M.A. Ofosu, S.K. Amponsah and F. Appau-Yeboah, . Volume Constraint Model and Algorithm for the 0-1 Knapsack Problem. Research Journal of Applied Sciences, Engineering and Technology, (11): 922-925.
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Information
   Sales & Services
Home   |  Contact us   |  About us   |  Privacy Policy
Copyright © 2024. MAXWELL Scientific Publication Corp., All rights reserved