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A New Approach for Solving 0/1 Knapsack Problem

Authors: Chou-Yuan Lee; Zne-Jung Lee; Shun-Feng Su;

A New Approach for Solving 0/1 Knapsack Problem

Abstract

In this paper, we reported our study on solving 0/1 knapsack problem effectively by using ant colony optimization. The 0/1 knapsack problem is to maximize the total profit under the constraint that the total weight of all chosen objects is at the most weight limit. In our study, we viewed the search in ant colonies as a mechanism providing a better performance and it has the ability to escape from local optima. In this paper, several examples are tested to demonstrate the superiority of the proposed algorithm. From simulation results, the proposed algorithm indeed has remarkable performance.

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    popularity
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    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Average
Top 10%
Average
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