PSO Algorithm Solves 6x6 Job Shop Scheduling Problem with MATLAB Implementation

This MATLAB program implements a Particle Swarm Optimization (PSO) algorithm to solve a 6x6 job shop scheduling problem, featuring Gantt chart visualization. The code demonstrates fundamental PSO operations including particle initialization, velocity updates, and fitness evaluation using makespan minimization. The implementation is well-structured for educational purposes, making it suitable for beginners to understand both scheduling optimization and metaheuristic algorithms.

Principles and Applications of Genetic Algorithms

Introduction to the principles and applications of genetic algorithms, with implementation examples for solving job shop scheduling problems using MATLAB/Python-based approaches

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.