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📢 Call for Papers — Volume 13, Issue 7 (July 2026) | Submission Deadline: July 31, 2026 | Rapid peer review: 2–3 days | Impact Factor: 7.37 (SJIF 2026)

Paper Details

📄 IJAERD-OJS-0010

Comparision of Dynamic and Greedy Approach for Knapsack Problem

Author(s):Jay Vala, Jaymit Pandya, Dhara Monaka
Institution:Assist. Prof. I.T. Department G H Patel College of Engg & Tech
Published In:Vol. 1, Issue 1 — January 2014
Domain:Engineering
Type:Research Paper
ISSN (Online):2348-4470
ISSN (Print):2348-6406
Abstract

The aim of paper is to analyze few algorithms of the 0/1 Knapsack Problem. Thisproblem is a combinatorial optimization problem in which one has to maximize the benefit ofobjects without exceeding capacity. As it is an NP-complete problem, an exact solution for alarge input is not possible. Hence, paper presents a comparative study of the Greedy anddynamic methods. It also gives complexity of each algorithm with respect to time and spacerequirements. Our experimental results show that the most promising approaches is dynamicprogramming.

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🕮 How to Cite

Jay Vala, Jaymit Pandya, Dhara Monaka, “Comparision of Dynamic and Greedy Approach for Knapsack Problem”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 1, Issue 1, January 2014.

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Vol. 13 | Issue 7
July 2026