This repository contains code used in the paper, "Solving 0–1 Knapsack Problems Using Sine-Cosine Algorithm". The Sine Cosine Algorithm (SCA), developed by Seyedali Mirjalili [1], belongs to the class ...

Combinatorial optimisation for knapsack problems addresses the challenge of selecting discrete items to maximise value under capacity constraints. Such problems are central to resource allocation, ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Researchers have successfully used a quantum algorithm to solve a complex century-old mathematical problem long considered impossible for even the most powerful conventional supercomputers. The ...

Abstract: The Unbounded Knapsack Problem (UKP), as an important extension of the classical 0-1 knapsack problem, is an NP-hard combinatorial optimization problem characterized by its allowance for ...

Researchers hope that a better understanding of which genes contribute to excess weight could help with prevention starting in childhood. By Gina Kolata Researchers have known for decades that ...

This article was originally published at The Conversation. The publication contributed the article to Space.com's Expert Voices: Op-Ed & Insights. Professional astronomers don’t make discoveries by ...

Abstract: This study analyses and compares the performance of six heuristic algorithms: Genetic Algorithm (GA), Simulated Annealing (SA), Hybrid (SA+GA), Tabu Search (TS), Ant Colony Optimization (ACO ...