Cryptography course @ Faculty of Electronic Engineering, University of Niš, Serbia
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Updated
Sep 26, 2018 - C#
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
This file contains the Java implementation of a Greedy and Backtracking Algorithm (GBA) to solve the Subset Sum Problem.
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).
Simple project in C to practice using arrays and loops as an assignment in Systems Programming A @ Ariel University
Python implementation solving complex problems with genetic algorithms, optimizing polynomial curve fitting and the knapsack problem efficiently.
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.
We have a set of items, each with a weight (Wi) and a value (Vi), determine the number of each item included in a collection so that the total weight is less than or equal to a given limit of knapsack and the total value is as large as possible.
This was part of the lecture "object oriented programming of heuristics" at the KU Ingolstadt.
This is an Operations Research Course Project. This is a QT GUI that implements Knapsack and Transportation Cost Problem. We used Gurobi as A Solver.
Knapsack problem solver using genetic algorithm
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