Abstract: Given a multiset of n positive integers and a target sum S, the subset sum problem is to find a subset such that the sum of its elements is as close as possible to S without exceeding S. We ...

ABSTRACT: In agriculture sector, machine learning has been widely used by researchers for crop yield prediction. However, it is quite difficult to identify the most critical features from a dataset.

The code within this repository implements a quantum algorithm for solving the subset sum problem, which is stated as follows: Given a set of integers X = {x 1, x 2, ..., x n} and a target sum s, ...

Abstract: DNA computing is a new emerging field of parallel computing. However, DNA computing is mainly based on biological technology, which is prone to deterioration and damage and other issues in ...

A Python Implemented Cryptographic Algorithm Which Utilizes Public, Private Key Cryptography to Provide Congruent Super-Increasing Sets for Encryption of Data. This Algorithm relies on the SUBSET-SUM ...

GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion There are generally three types of scientific software users: users that solve problems using existing ...

The PyTorch 1.0 release candidate introduces Torch Script, a Python subset that can be JIT-compiled into C++ or other high-speed code An official release candidate of PyTorch 1.0, the Python-centric ...