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 ...

In recent years, the prospect of real-world quantum computing has raised hopes for solving hard combinatorial optimisation problems, leading to tremendous theoretical work on developing and analysing ...

The looming challenges of quantum computing have prompted the Java Platform to implement two advanced cryptographic solutions in its upcoming release, Java 24, slated for March 2025. Quantum computers ...

The knapsack problem is a fundamental challenge in combinatorial optimization and a crucial topic in algorithm design and analysis. It involves a set of items, each with a specific weight and value, ...

Abstract: Knapsack problem is a classical optimization problem in computer science and programming. Knapsack problem main objective is to solve how much the maximum profit can be carried with the ...

Explore the Knapsack algorithm in action with this TypeScript implementation that optimizes transaction selection based on account balances. This repository demonstrates how the Knapsack algorithm can ...

In four new studies, researchers found complicated results from experiments on Facebook’s and Instagram’s algorithms, suggesting there was no silver bullet to fixing the platforms. By Mike Isaac and ...

I would like to share another study with my connections. please assume that after your optimization activity in the area or cluster some improvement and degradation has been happened. For example, ...

The advancements of mobile devices, public networks and the Internet of creature huge amounts of complex data, both construct & unstructured are being captured in trust to allow organizations to ...

In this paper a hybrid parallel multi-objective genetic algorithm is proposed for solving 0/1 knapsack problem. Multi-objective problems with non-convex and discrete Pareto front can take enormous ...