Solving the subset sum problem using distributed tissue-like P systems with cell division / Justin Granda, Samuel Jose and Kelvin Cui Buño.
By: Granda, Justin [author]
Contributor(s): Jose, Samuel [author] | Buño, Kelvin Cui [author]
Analytics: Show analyticsCopyright date: 2021Subject(s): Computer systems | Membrane computers In: Philippine Computing Journal vol. 16, no. 1: (Aug. 2021), pages 4-11.Summary: The Subset Sum Problem is a decision problem where given a multiset of integers, a decision must be made on whether a subset of said set can be found where the sum of its elements is equal to a target value, or not. This problem is NP-Complete. Membrane computing is one of the ways used to approach these problems, using a computing model commonly referred to as P systems. In this work, we solve the Subset Sum Problem using dP systems where the components are tissue P systems with cell division. The 2-component solution proposed can generate candidate solutions twice as fast, as compared to the non-distributed solution it was based on. However, computation time is increased with respect to the target sum. Communication costs are analyzed and measured.Item type | Current location | Home library | Call number | Status | Date due | Barcode | Item holds |
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The Subset Sum Problem is a decision problem where given a multiset of integers, a decision must be made on whether a subset of said set can be found where the sum of its elements is equal to a target value, or not. This problem is NP-Complete. Membrane computing is one of the ways used to approach these problems, using a computing model commonly referred to as P systems. In this work, we solve the Subset Sum Problem using dP systems where the components are tissue P systems with cell division. The 2-component solution proposed can generate candidate solutions twice as fast, as compared to the non-distributed solution it was based on. However, computation time is increased with respect to the target sum. Communication costs are analyzed and measured.
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