Dynamic Programming
A genetic algorithm to solve the Knapsack Problem for a given set of items.
Course projects on various NP and NPH problems on CTU in Prague 2021. Knapsack problem with various approaches, analysis of effectivity and robustness. Instances generation and validation. Approximation algorithms (FPTAS) and advanced iterative methods (genetic algorithm, simulated annealing).
Python implementation solving complex problems with genetic algorithms, optimizing polynomial curve fitting and the knapsack problem efficiently.
Simple project in C to practice using arrays and loops as an assignment in Systems Programming A @ Ariel University
Cryptography course @ Faculty of Electronic Engineering, University of Niš, Serbia
This program was made for Dr. Niu's algorithm class.
Solve the unbounded knapsack problem and its dual version
to find the optimal weight of bag of 20 kg having highest significance,, This program use random list depends upon the choice of user
This repository includes a study that aims to handle the knapsack problem with recursive-methods and dynamic-programming paradigm. Detailed info in ReadMe
Knapsack problem solver with genetic algorithm
Knapsack problem solver using genetic algorithm
Knapsack problem with greedy algorithm solution
This repo aims to solve a problem similar to 0-1 KP.
Arranges a set of songs in groups with similar total play time.
There is a robot for a library.A sample input file is given below. The first 10 rows represent the adjacency matrix. Then, each room’s name is followed by weight and number of pages of books in 5 rooms. Knapsack algorithm is for maximaxing the total number of pages (it can pick total of 5 kilograms of books from 5 rooms )and Prim algorithm is used.
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