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Feasibility Intensive Genetic Algorithm (FIGA) for the Capacitated Vehicle Routing Problem with Time Windows (CVRPTW)
The traveling salesman problem (TSP) is a well-known problem in theoretical computer science and operations research. The standard version of the TSP is a hard problem and belongs to the NP-Hard class. In this project, I build an application to implement the TSP by the dynamic approach and the GVNS approach .
Записките ми за упражнения по "Дизайн и анализ на алгоритми"
Solving the popular NP problem, The Subset Sum Problem, with an Amortized O(n) algorithm based on Recursive Backtracking. The Algorithm stood second fastest in the organized Intra-University competition.
My Edinburgh Napier University Honours Project: investigating the multi-objective Capacitated Vehicle Routing Problem with Time Windows (CVRPTW).
University project about time and space complexity of differents algorithms, data structure and NP problems
Algorithms Specialization (Stanford-Coursera)
NTUEE Algorithm 23Spring PA3
the problem of finding a cycle in a graph that contains all vertices (each exactly once) and has the lowest possible cost
An efficient simulated annealing algorithm applied to the Minimum Vertex Cover Problem
A recursive algorithm with backtracking in Java to solve the NP problem of SAT solving.
Solving a graph NP-problem using Sat-Solving (libz3) approach.
Compares an algorithm that solves the K-Clique problem exponentially with an algorithm that solves the polynomial transformation to SAT
An approach about the NP-Hard problem: Partition Into Perfect Matchings, in which I worked in the class of Complexity and Algorithms, in Universidad del Norte, which I wanted to share with the world.
This Python program uses 2 main Artificial Intelligence Algorithms to solve the Best Vertex Cover Problem.
Approximation and randomized algorithms - Assignment 01 - SAT