Записките ми за упражнения по "Дизайн и анализ на алгоритми"
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Updated
Feb 21, 2026 - TeX
Записките ми за упражнения по "Дизайн и анализ на алгоритми"
Feasibility Intensive Genetic Algorithm (FIGA) for the Capacitated Vehicle Routing Problem with Time Windows (CVRPTW)
My Edinburgh Napier University Honours Project: investigating the multi-objective 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 .
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.
Position-Candidate-Hypothesis (PCH) is a theoretical paradigm for structural-statistical analysis of NP-complete problems.
University project about time and space complexity of differents algorithms, data structure and NP problems
An efficient simulated annealing algorithm applied to the Minimum Vertex Cover Problem
NTUEE Algorithm 23Spring PA3
Algorithms Specialization (Stanford-Coursera)
A recursive algorithm with backtracking in Java to solve the NP problem of SAT solving.
Mathematics-Backed Peer to Peer Network — Rust node, marketplace, Lean 4 verified math
The Logistics Optimizer tackles the NP-hard Container Terminal Space Allocation and Scheduling Problem using an Enhanced Cuckoo Search Algorithm with Gaussian Mixture Clustering. This approach maximizes space utilization and minimizes costs, improving efficiency in resource allocation and scheduling for logistics operations.
An Algorithmic Approach to Solve the Grouping Problem, BSc Thesis
Compares an algorithm that solves the K-Clique problem exponentially with an algorithm that solves the polynomial transformation to SAT
Datasets
Datasets - Packing at scale
Approximation and randomized algorithms - Assignment 01 - SAT
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