Source Code for Various Artificial Intelligence Algorithms
Source code implementations for various AI algorithms including Ant Colony Optimization, Particle Swarm Optimization, Genetic Algorithms, and Neural Networks with implementation details
Particle Swarm Optimization and Genetic Algorithm for Optimizing RBF Radial Basis Function Neural Networks
Implementation of Particle Swarm Optimization and Genetic Algorithms for optimizing RBF neural network parameters, featuring performance comparisons and code integration examples.
Particle Swarm Optimization (PSO) for Solving the Traveling Salesman Problem (TSP)
MATLAB implementation of Particle Swarm Optimization (PSO) algorithm for solving the Traveling Salesman Problem (TSP), including code structure and key parameter explanations.
Particle Swarm Optimization for Solving the Knapsack Problem
Particle Swarm Optimization applied to the Knapsack Problem. Includes MATLAB source code implementation with detailed algorithm explanations, along with a comprehensive report analyzing the methodology, results, and algorithm performance. This represents a complete academic assignment demonstrating practical optimization techniques.
Particle Swarm Optimization for Workshop Scheduling Problems
Particle Swarm Optimization algorithm for workshop scheduling problems, demonstrating excellent optimization capabilities with efficient solution convergence through position-velocity updates and fitness evaluation.
Training Support Vector Machines Using Quantum-Behaved Particle Swarm Optimization
This program implements quantum-behaved particle swarm optimization to train support vector machines, with validation performed on the IRIS dataset to demonstrate method effectiveness
33-Node Distribution Network Reconfiguration using Particle Swarm Optimization
Distribution network reconfiguration program for 33-node systems, implemented with Particle Swarm Optimization algorithm. The solution demonstrates excellent computational efficiency, though source code modification is required for data regeneration capabilities.
PSO-SVM Optimization Algorithm: Particle Swarm Optimization for Support Vector Machine
MATLAB implementation of Support Vector Machine optimization using Particle Swarm Algorithm - a beginner-friendly, easy-to-learn program with clear code structure and practical examples
Particle Swarm Optimization for Solving the Classic Traveling Salesman Problem (TSP)
A self-developed particle swarm optimization implementation for solving the classic TSP problem, thoroughly tested with excellent performance results, ready for practical applications
Optimizing Sample Refitting Functions to Find Maximum Values Using Particle Swarm Optimization (PSO) Algorithm
Implementing Particle Swarm Optimization (PSO) to maximize sample refitting functions through iterative search processes with enhanced algorithm parameter configuration.