Despite these challenges, the genetic algorithm approach proved effective for this complex scheduling problem ... algorithms for this class of problems where traditional optimization methods might be ...

this paper research on optimization of the production scheduling. A new optimization algorithm called the Self-Crossover Genetic Algorithm is proposed to support model optimization. A numerical study ...

In order to support application of smart production ... algorithm was developed in this paper with a novel and generic optimization model with common coding for job-shop scheduling. In this paper, the ...

For example, some of the most widely used metaheuristics for production scheduling problems are genetic algorithms, simulated annealing, tabu search, ant colony optimization, and particle swarm ...

This project implements a genetic algorithm to optimize flight schedules and ticket costs for a group of researchers traveling to a conference in Rome. The goal is to minimize the total waiting time ...