Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling sales...
A Python implementation of a branch-and-bound approach (plus a simple greedy heuristic) to solve a variation of the multiple knapsack problem where items have both individual and pairwise benefits.
Resume Shortlister is an AI application based on NLP to screen and shortlist Resumes
This repository contains the implementation of an enhanced NSGA-II algorithm for solving the Flexible Job Shop Scheduling Problem (FJSP), focusing on multi-objective optimization. Developed as part of...
#算法刷题#It uses backtracking and heuristic algorithms to solve even the most extreme sudoku boards.
Determining the sizing of transistors using heuristic algorithms and logical effort to obtain optimal delay and power
Heuristic algorithms for solving the budget-constrained prize collecting Steiner forest problem.
#大语言模型#🌍 Build a complete travel booking system with three Android apps: admin management, driver location tracking, and user seat reservations.
#算法刷题#This repository contains the code used in the CS301 (Algorithms) Project which discusses the Maximum Independent Set Problem
Examen - Análisis y diseño de algoritmos
#算法刷题#A generalized version of the problem
A heuristic approach for Minimum Dominating Set which is an NP-Complete problem and analysis of speed performance and correctness.
Implementation of a meta-heuristic based on genetic algorithms applied to the famous Knapsack problem 0/1
Course project for CS271: Introduction to Artificial Intelligence at UC Irvine
📊🔄Dive into the captivating world of AI-driven gaming, where stickers of graph algorithms 📊, a dynamic blend of Dijkstra's 🌐 and bread-first search 🔍, and a thrilling twist on the minimax algorit...
#算法刷题#Optimal Weighted Graph Matching
Implementation of dynamic programming heuristics from a research paper to solve the Quadratic Knapsack Problem (QKP), with test cases and complexity analysis.