Solving Traveling Salesman Problem (TSP) with Hopfield Networks
Implementation of Hopfield network for TSP optimization using elite-preservation iteration strategy, with calculation of optimal and suboptimal solution counts
Solving the Traveling Salesman Problem Using Genetic Algorithms
Implementation of a genetic algorithm to solve the Traveling Salesman Problem with executable Python code and detailed algorithm explanations.
Solving Traveling Salesman Problem Using Genetic Algorithm
Implementation of a genetic algorithm to solve the Traveling Salesman Problem with a five-city example, including complete source code and detailed technical explanations.
Ant Colony Optimization (ACO) for Traveling Salesman Problem (TSP) with MATLAB Implementation
MATLAB implementation of Ant Colony Optimization (ACO) algorithm for solving the Traveling Salesman Problem (TSP) using the Oliver30 dataset.
Simulated Annealing Algorithm for Solving the Traveling Salesman Problem
MATLAB implementation of simulated annealing algorithm for solving the traveling salesman problem with detailed code optimization strategies
Traveling Salesman Problem Using Genetic Algorithm
Solving the Traveling Salesman Problem with a genetic algorithm approach, including implementation details and optimization techniques.
Solving Traveling Salesman Problem Using Hopfield Network
One of the artificial neural network experiments that implements Hopfield network to solve the Traveling Salesman Problem. The package includes complete documentation covering algorithm theory, problem formulation, experimental results, and analysis, along with source code implementation featuring energy function minimization and convergence validation.
Discrete PSO Algorithm Routine for Traveling Salesman Problem
A discrete Particle Swarm Optimization (PSO) algorithm routine for solving the Traveling Salesman Problem, featuring dynamic path string generation with built-in validity assurance mechanisms
Solving Traveling Salesman Problem (TSP) Using Genetic Algorithm
Solving the Traveling Salesman Problem (TSP) using genetic algorithms addresses one of the most famous challenges in mathematical optimization. The problem involves a salesman who must visit n cities exactly once and return to the starting city, aiming to minimize the total travel distance. This implementation utilizes evolutionary computation principles, including chromosome encoding of city sequences, fitness evaluation based on path length, and genetic operators like crossover and mutation to iteratively improve solutions.
TSP (Traveling Salesman Problem) - Implementation Approaches using MATLAB and LINGO
Solving the Traveling Salesman Problem (TSP) using MATLAB-based Genetic Algorithms and Simulated Annealing, along with LINGO-based Dynamic Programming optimization methods. Includes code implementation strategies and algorithm comparisons.