The disadvantage of the subset-sum algorithm is that it solves only a decision—a yes-or-no problem—and doesn't allow restoring the partition itself. To overcome this disadvantage, you can use an array ...

🧬 Subset Sum Optimization using Genetic Algorithm (GA) This project implements a Genetic Algorithm (GA) to solve the classical Subset Sum Problem (SSP). Instead of using brute-force techniques, it ...

Solving the popular NP problem, The Subset Sum Problem, with an Amortized O(n) algorithm based on Recursive Backtracking. The Algorithm stood second fastest in the organized Intra-University ...

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 the ...

An efficient branch-and-bound algorithm for computing the best-subset regression models is proposed. The algorithm avoids the computation of the whole regression tree that generates all possible ...