Bio-inspired computational methods have gained popularity recently. These methods mimic the seemingly complex behavior of ...

Implementation of dynamic programming heuristics from a research paper to solve the Quadratic Knapsack Problem (QKP), with test cases and complexity analysis.

ABSTRACT: In real-world applications, datasets frequently contain outliers, which can hinder the generalization ability of machine learning models. Bayesian classifiers, a popular supervised learning ...

An illustration of a magnifying glass. An illustration of a magnifying glass.

Abstract: Dynamic programming is a fundamental algorithm that can be found in our daily lives easily. One of the dynamic programming algorithm implementations consists of solving the 0/1 knapsack ...

This is an implementation of the 0-1 knapsack problem in C using dynamic programming. The problem consists of a set of items, each with a weight and a value, and a knapsack with a maximum weight ...

Abstract: Many dynamic programming approaches are existing for 1-0 Knapsack problem (KP) for fast GPU-based solution. These dynamic programming methods can be used for solving the problem of Bounded ...