Particle swarm optimization approach to solve single machine total weighted tardiness problem with unequal release date

In today's competitive environment, where efficiency and effectiveness are extremely important, businesses value speed to provide competitive advantage. Delivery of orders at the desired time and with minimum delay is among the common goals of all enterprises. Due to the diversity and complexity of the structure of scheduling processes, many scheduling rules and algorithms have been created. Most algorithms find acceptable results, while others offer the optimum solution. Particle Swarm Optimization (PSO) is an optimization technique based on the social interaction between bird flocks. PSO with the ease at application and speed of finding a solution comes to the forefront among the other optimization techniques. In this study, the optimal solution of Unequal Preparation Time Single Machine Total Weighted Delay using Particle Swarm Optimization (PSO) Algorithm is explained. The results show that the total weighted delay will be reduced by using the PSO algorithm.